Best compression algorithm for images
Best compression algorithm for images. Today, we’ll be looking at region quadtrees and their connection to compression images to save memory and speed up image-based algorithms. Oct 25, 2008 · There's always lzip. PIL. The goal of video and audio compression is to maximize the compression ratio and to minimize the distortion; a common trade-off in all compression technologies. However, their computational complexity is too high to be adopted in WCE application. Often, images will contain outlier colors relative to the main color palette of the image. On the other hand, a lossless compression algorithm is a compression algorithm that doesn’t remove any information when compressing a file, and all information is restored after With the world drifting more and more towards the social network, the size and amount of data shared over the internet is increasing day by day. Equation 9. Mar 18, 2024 · Now, we’ll move on to the best image comparison algorithm nowadays that uses Siamese Networks. These methods tend to remove data redundancy and to provide a variable length coding that exploits data statistics to reduce coding cost. The absolute best possible compression ratio; Compatibility with standard readers, such as Windows and WinZip; So suggestions such as 7-zip won't be of much use, unless 7-zip is also slightly better at the standard ZIP compression (as opposed to using it's very good . We employ an algorithm-hardware co-design methodology, yielding a hardware-friendly compression approach with low power consumption. PNG images use lossless compression while JPEG images can and often do use lossy compression. For almost any data compression algorithm, it is easy to artificially construct a "benchmarketing" file that can be compressed at amazingly high compression ratio and decompressed losslessly. But at the beginning of a new data set, there is no "past" to build upon. All kidding aside: Where compatibility is a concern, PKZIP (DEFLATE algorithm) still wins. . Jan 16, 2024 · Remember, lossy image compression data is irreversible, and over-compression can lead to noticeable quality loss. JPEG images are inherently hard to compress because their format already incorporates a simple but effective compression scheme. Aug 18, 2020 · Python PIL library contains Image module in which variety of functions are defined. 2, results in lower compression ratios; the one with the highest compression ratio (other than ZSTD), zlib 1. Compression level The compression algorithm selected by the Image Converter is written in the generated files. PPMd Dmitry Shkarin's PPMdH algorithm with small changes. Jan 3, 2023 · The compression of images is carried out by an encoder and output a compressed form of an image. BMP, . Jul 27, 2021 · WebP is a good choice for lossless images since it easily wins over PNG when it comes to compression efficiency, having 41% smaller images on average. [40] xz is the fastest decompressing well-compressed algorithm. In our method, the image is first micro-shifted, and then the sub-quantized values are further compressed. Easily reduce image size by up to 80% with lossy compressions using this free tool. These different image information affects the extraction of features by the network and plays an important role in image compression. org are unblocked. Compression is therefore all about probability. Our approaches are mainly algorithmic. It optimizes image-heavy applications and websites for faster loading and better user experience. With Lossless compression, the data recovered after compression and subsequent decompression will match precisely with the original. It’s beneficial when storage and bandwidth efficiency trump the need for perfect image fidelity. JPEG-Still Image Compression Standard. Nov 30, 2021 · No, it’s RLE + predictive pixel estimation based on previous pixels (à la png). In digital platforms, these are usually methods to compress PNG, GIF, and JPEG files. An image is made up of several intensity values known as Pixels. Therefore, it is necessary to study the rate-distortion performance of deep learning-based image compression algorithms in real SHM image data. I have search through but still barely have an idea of the suitable algorithm. This site focusses on print – and as such contains advice about various algorithms for images. It makes use of machine learning with built-in functions and can perform complex operations on images with just a few functions. We’ll use Pillow for image I/O, padding the images Jun 11, 2021 · A general representation framework for image compression is also put forward and the results indicate that our developed soft compression algorithm can outperform the popular benchmarks PNG and This paper proposes a high-throughput lossless image-compression algorithm based on Golomb-Rice coding and its hardware architecture. 11-1, suffers from a slow compression speed. For example, if you have images that are 80 KB in size, you can have it automatically exclude them from compression. Two compression algorithms, run length and Shannon–Fano, are used in image compression, and the Shannon–Fano can be considered as the effective compression What algorithm compresses the most. Not worth any extra effort. When you want the iso again, decompress the tarball and turn it back into an iso. It is the same compression algorithm that is also used in fax devices. Image segmentation using watershed algorithm. From what I understand, the best options would be: Archive format - 7zip (Best format) Compression level - Ultra Compression method - LZMA2 (Best compression method) I was wondering about the following options:. The most common example of lossy compression is JPEG compression for images. Lossy compression can remove data from a file. com May 13, 2024 · By understanding the intricacies of compression algorithms and adopting effective optimization strategies, you can achieve remarkable compression gains without perceptible loss in visual 2 days ago · WebP is a new image format developed by Google and supported in Chrome, Opera and Android that is optimized to enable faster and smaller images on the Web. If you're behind a web filter, please make sure that the domains *. The compression ratios are improved by at least 6. A Siamese Network is a neural network that consists of two identical subnetworks meaning that they contain exactly the same parameters and weights. They achieve this Jun 28, 2024 · With that, let’s explore the best free image compressors that you can use to optimize your online photos. You can use any of these three image compression algorithms to reduce the size of an image. Let’s learn about a few of them: Jan 14, 2021 · The singular matrix decomposition plays a major role in linear algebra and has a lot of applications, including lossy image compression. Oct 18, 2004 · This paper presents VLSI Architectures for Discrete Wavelet Transforms and Coding Algorithms in JPEG 2000, a guide to data compression techniques used in the development of JPEG 2000. Different image file types such as JPG, TIF, and PNG use different algorithms to change how image data is stored and to produce smaller-sized files (measured in bytes). In on-board applications, image compression is required because of bandwidth, memory space or transmission time is limited. A flow chart of the process of the compression of the image can be represented as: In this article, we try to explain the overview of the concepts involved in the image Apr 9, 2009 · The smaller the amount of data to compress, the more difficult it is to compress. What is image compression? Image compression is a process that makes image files smaller. XZ is an open-source data compression method that makes use of the LZMA2 algorithm to produce a higher compression ratio. 4. PCA approach is implemented in two ways – PCA Statistical Approach & PCA Neural Network Approach. Numerous algorithms, such as Particle Swarm Optimization (PSO), the Cuckoo search algorithm (CS), bat algorithm, and firefly Jul 28, 2020 · For this reason, this research designed a new fractal image coding compression and transmission model based on the wavelet transform process based on the analysis of the advantages and Jan 8, 2019 · Huffman encoding and arithmetic coding algorithms have shown great potential in the field of image compression. Deflate is the algorithm used by the zlib and gzip implementations. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data. Ziv et al. This problem is common to all compression algorithms, and reason is, compression algorithms learn from past data how to compress future data. What is image compression? Image compression is a method of reducing the size of an image file by means of a specific algorithm. Deflate, zlib, gzip — three names intertwined. Simply, this method compresses images without eliminating critical data or reducing image quality. Even for these there is no single algorithm that works best for all types of images. Some of the most Aug 16, 2018 · So interpret the results not as the absolute truth, but rather as an indication and a guideline of what the tradeoffs between the different algorithms and configuration options are. The change is mostly imperceptible to the end-user. May 20, 2024 · Vector quantization (VQ) is a block coding method that is famous for its high compression ratio and simple encoder and decoder implementation. Feb 2, 2023 · Scientific Reports - Robust, practical and comprehensive analysis of soft compression image coding algorithms for big data. This paper proposes a novel hybrid integrated method for lossless image compression by combining Contrast Limited Adaptive Histogram Equalization (CLAHE), two-channel encoding, and adaptive arithmetic coding to achieve highly efficient compression Jun 8, 2021 · The experimental results on three different image sets show that the proposed algorithm outperforms state-of-the-art algorithms. Like the LZW algorithm that DEFLATE is derived from, LZMA is ultimately derived from an algorithm known as LZ77, though it gets insanely better compression ratios than DEFLATE-based options, and significantly better ratios than Bzip2 in most cases. It’s also widely supported in web browsers and other software. Is there a way to get even better compression using Winrar or another tool with tweaking setting etc to get a smaller archive? Aug 25, 2023 · Extracting foreground from images using GrabCut algorithm. Jan 8, 2018 · PNG, GIF, and JPEG Image Compression. Apr 19, 2017 · Which lossless compression algorithm [between LZW or JBIG] is better for compressing data sets consisting of images (colored and monochrome)?. In practice, compression algorithms are far more sophisticated than the previous example illustrates, and on the web, compression algorithms can be used to significantly reduce download times for resources. However, ZSTD shows substantial improvements in both compression speed and decompression speed, while maintaining a high compression ratio. Audio compression is different from video compression which is different from image compression. Linde–Buzo–Gray (LBG) is a renowned technique for VQ that uses a clustering-based approach for finding the optimum codebook. Aug 23, 2021 · The fastest algorithm, Iz4 1. The compression ratio of the resulting compression scheme heavily relies on the first problem: the model capacity. Jan 16, 2023 · Analysis of K-Means for Image Compression. gzip does offer much faster decompression but the compression ratio gzip offers is far worse. kasandbox. bzip2 is the best compromise between being enjoying a relatively broad install base and a rather good compression ratio, but requires a separate archiver. Decompress the image, then convert it into a tarball, then compress it using an algorithm like gzip, bzip, 7z, etc. Sonal, Dinesh Kumar in 2005 explain a study of various image compression techniques that presents the Principal Component Analysis approach applied to image compression. In this paper, we discuss algorithms of widely used traditional and modern compression In this article, we'll be showing compress + decompress benchmarks for 4 of the most popular Linux compression algorithms: gzip, bzip2 (using lbzip2), xz, and lz4 We'll lightly discuss the tradeoffs of each algorithm, and explain where/when to use the right algorithm to meet your (de-)compression needs :) Dec 11, 2023 · This is a toy example of how compression algorithms can be effective at reducing the transfer size of text-based resources. Compress image files while preserving quality. Dec 25, 2023 · Stay put to check out some of the best image compression tools to boost user experience and your website’s search rankings. Feb 18, 2022 · In this paper, we propose an efficient compression algorithm specifically for grayscale images. Jun 27, 2024 · However, most of the best image compression tools guarantee your security when resizing your pictures. The presence of countless image compression tools points to a single conclusion–image optimization is crucial and shouldn’t be ignored. WebP images are about 30% smaller in Lossless compression uses an algorithm to shrink the image without losing any important data. Limited Applicability: LZW compression is particularly effective for text-based data, but may not be as effective for other types of data, such as images or video, which have Mar 27, 2014 · Applying a lossy pre-compression filter to images before FLIF compression (something the encoder enables), creates visually lossless images that competes with the best lossy encoders, but with the advantage that re-encoding the output files repeatedly won't further reduce quality (as the encoder is lossless). May 4, 2022 · Winzip supports this in conjunction with their zipx format, all the way back in 2008. May 8, 2024 · Lossless image compression techniques play a crucial role in preserving image quality while reducing storage space and transmission bandwidth. 9. The opposite would be a lossy compression algorithm. During decompression the discarded zones are replaced by a reliable simulation. It is an open-source library used for image preprocessing. The types of format that can benefit from lossless image compression are . [] proposed an algorithm for compressing data sequentially. In addition, the proposed solution Sep 13, 2021 · When the image compression algorithm is a lossy algorithm, the SSIM value is not equal to 1 but should be close to the value 1 for the acceptance of an algorithm. [38] Wavelet compression, the use of wavelets in image compression, began after the development of DCT coding. Syntax: PIL. Optimole is a popular image compression and optimization plugin for WordPress, created by the same team Oct 9, 2021 · The LZW can be considered as the best algorithm for text compression by considering the compression ratio, compression time and decompression time of all compression algorithms. Source and quote:. Recently many high performance algorithm for encoding CFA images have been presented [33], [34], [35]. getbands() This method is used to get the mode (bands) present in an image. Recent advances in deep learning allow us to optimize probabilistic models of complex high-dimensional data efficiently. Lossless compression is advised for archive purposes and is widely used for comics, technical drawings, medical imaging, and clip art. Compression algorithms can be classified as two broad classes: lossless and lossy compressions. Sep 20, 2022 · All lossless data compression algorithms give different data compression ratios for different files. Many (most) formats nowadays are compressed. Algorithms and creation options. If you're seeing this message, it means we're having trouble loading external resources on our website. These algorithms are the origin of current image compression techniques. The lossless compression technique is best for text-heavy images and pictures with a transparent background. I have implemented both and tested on smaller data sets [each containing 100 images] and have found inconclusive results. One really handy feature is the ability to set the minimum file size for compression. May 25, 2024 · The objective is to represent an image using the fewest number of bits possible. Khanmigo is now free for all US educators! Plan lessons, develop exit tickets, and so much more with our AI teaching assistant. BZip2 Apr 13, 2013 · Optimizing for fast compression: When it comes to the best algorithm when optimizing primarily for compression speed, there is no clear winner in my opinion but lz4 is a good candidate. Introduction to Discrete Wavelet Transform. 2. A few compression algorithms can perform lossy compression. It also includes various benefits of using image compression techniques [3]. The best image compression tools offer two techniques – lossy and lossless image compression. The structural May 8, 2018 · So now I am wondering whether Statistical compression or Dictionary compression is more suitable for large English text compression in terms of compression ratio and ease-to-implement. Acrobat offers CCITT group 3 or group 4 compression. Video, music, pictures, even documents. Rather than messing with some of the usual file types here -- like Word DOCX documents, which already use a form of Zip compression, and JPG images, which also use a form of compression -- we decided to compress a few installed PC games. LOCO-I (Low Complexity Lossless Compression for Image) is developed for simplicity with the compression The other approach to image compression is known as Lossless compression. Have a nice day. Image compression is the process of minimizing the size of images by removing or grouping certain parts of an image file without affecting the quality, thereby saving storage space and bandwidth. Compression quality can be measured in various ways. If selecting "Yes" the Image Converter will compress the image with the algorithm that matches the image format. For example, the target image below contains two small clown-fish that are bright orange. I am having trouble finding an algorithm to encode the compressed wavelet coefficients. When used at low bit rates, lossy compression algorithms produce compression artifacts. In this post we will discuss it in the context of the mentioned image compression with the focus on the intuition behind the algorithm, without going deep into the theory. Optimole. Our algorithm is more suitable to compress images with complex texture and higher resolution at an acceptable compression speed. No entropy coding, no Huffman, no Lempel–Ziv–Welch here. Jun 6, 2018 · XZ uses a different algorithm called LZMA. May 11, 2022 · Additionally, we propose a circuit and image compression algorithm that is shown to be highly effective, being able to reduce the necessary gates to prepare an FRQI state for example scientific Feb 27, 2019 · Lossless image compression algorithms implemented in image file format use the same methods as general purpose compression software, plus some specific methods based on image models. getbands(image_object [valid image path])Parameters: It takes a parameter image_object i. Refer to this link for more details. See full list on dzone. e it the reference of the image which is opened using open() Image information is closely related both locally and globally. Each subnetwork can be any neural network designed for images like a Convolutional Neural Network Jun 9, 2016 · An optimized LOCO-I algorithm for small image compression applications is developed to improve compression performance, and Compression Ratio is improved by 5-10%. Ideally I'm looking for: A recommendation of a piece of software May 21, 2024 · Compression Speed: LZW compression can be slower than some other compression algorithms, particularly for large files, due to the need to constantly update the dictionary. A lossless compression algorithm compresses data such that it can be decompressed to achieve exactly what was given before compression. As with the L8 Compression, we can select the image for a widget as normal and reference the bitmap in code as usual. Sep 1, 2017 · Inter-pixel correlation in CFA images is lower than in full color ones, which in turn makes CFA images compression challenging. Aug 16, 2023 · Huffman coding is one of the basic compression methods, that have proven useful in image and video compression standards. Which file archiver utility compresses better. Several image compression algorithms have been developed, each with its approach and advantages. The use of compression algorithms in PDF files CCITT compression. Mar 18, 2024 · Let’s now look at the implementation of the RLE compression algorithm. 2. CCITT compression can be used for black-and-white images. What are the best compression options and settings. Outliers. The JPEG compression algorithm works by first unwinding this preexisting compression and then recompressing the file using an improved method that typically results in a 20-25% savings in space. J. When discussing compression algorithms it is important to make a distinction between two components: the model and the coder. Nov 9, 2018 · In this paper, we propose a lossy image compression algorithm called microshift. Usually it provides high compression ratio and high speed for text files. 3. Image compression can be lossless or lossy. Essentially, it rewrites the file to make it more efficient - resulting in a smaller storage or transfer size. The performance of lossless compression algorithms have limits. Best Free Image Optimization Plugins for WordPress 1. Oct 28, 2021 · Images are now employed as data in a variety of applications, including medical imaging, remote sensing, pattern recognition, and video processing. Source Coding Algorithms. 5. Two methods, FAST and MRF models, are proposed to recover the bitdepth by I'm currently working on data compression for the ECG data, and I'm using Discrete Wavelet Compression. The "trick" that allows lossless compression algorithms, used on the type of data they were designed for, to consistently compress such files to a shorter form is that the files the algorithms are designed to act on all have some form of easily modeled redundancy that the algorithm is designed to remove, and thus belong to the subset of files Aug 31, 2016 · While lossless data compression is the focus of this post, there exists a related but very different field of lossy data compression, used primarily for images, audio, and video. (If it is lossless, again, the issue will be not much of a file-size change, but possibly the "best" for "noisy images", AKA: Photographs or video-frames) WEBp has a lossless format, and tends to favor "simple images Aug 23, 2022 · In this section, we’ll create a general purpose algorithm for encoding and decoding any image (but especially cat images without copyrights). For best compression ratio with LZMA2 use 1 or 2 CPU threads. The proposed solution increases compression ratios (CRs) while preserving the throughput by taking advantage of a novel parallel variable-length sign coding (PVSC) algorithm that reduces the sign bits to achieve a higher CR. Unlike one-size-fits-all approaches, we understand that each image requires specific compression settings for optimal results . Here are a few commonly used types of image compression algorithms: Lossless Compression – Lossless compression algorithms aim to reduce file sizes without any loss of information. Jul 5, 2024 · Different Types of Image Compression Algorithms. Mar 3, 2023 · Abstract We develop an image compression technology based on machine learning that uses segmentation of the original image into discarded and stored zones. When it comes to image compression, Shortpixel is the best tool in the business. Image compression plays a vital role where there is Nov 5, 2014 · We stuck with popular applications at their default compression settings to simplify things. This study aims to address these issues by developing an improved encryption–compression-based algorithm for securing digital images that reduces unnecessary hardware storage space, transmission time and bandwidth demand. Aug 30, 2018 · Image is processed with a lossy filter that eliminates some pixel data. When configured to run at the same We would like to show you a description here but the site won’t allow us. JPEG-2000 has a "lossless" image compression, but I am not sure if it is actually lossless, or just SUPER-CLOSE to lossless. Unless if you are working with a list of random numbers stored as a string (in which case no compression algorithm will work) knowing the kind of data usually allows to apply much better algorithms than general purpose ones (see other answers for good ready to use general compression algorithms). If you use LZMA2 with more than 2 threads, 7-zip splits data to chunks and compresses these chunks independently (2 threads per each chunk). These developments have triggered a need for new processing techniques brought about by the confined power and constrained hardware resources aboard satellites. org and *. Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. images. The first step is optional, and the exact algorithm will depend on the particular image format, but it is important to understand that any image can undergo a lossy compression step to reduce its size. Using filesystem level compression on few 10s of TBs of mixed data results only in ~1-3% savings. RAW, . May 5, 2022 · The fractal compression is used in medical fields and belongs to the lossy algorithm of image compression. Lossy Compression Algorithms. Mar 18, 2024 · A lossy compression algorithm is a compression algorithm that permanently removes some data from the original file, especially redundant data, when compressing it. This article proposes two novel lossless and near-lossless compression I've been using 7zip for a while now, I'd like your feedback on what the best settings would be for a maximum compression rate. Nevertheless, there are some deficiencies in both algorithms that use the frequencies of the characters in the data. What archive format reach highest compression ratio. Nov 24, 2021 · Image compression with MLPs involves a unitary transformation of the entire spatial data. Make sure to set compression levels high and sliding windows wide. GIF, and . When you hear mention of digital image compression or graphics image compression, it refers to the variety of methods for reducing image file sizes. Image. Oct 15, 2023 · These snippets provide a glimpse into the world of image compression with Python. bzip2 offers much faster compression than xz but xz decompresses a lot faster than bzip2. PNG images are an example of lossless compression. Experimenting with these algorithms on diverse datasets will reveal their strengths and nuances. With lossless, you reduce the size of your image without losing quality. There have been various research works in the field of compression in the past that present the background of our work. 22% up to 72. Here’s a pseudocode for implementing the BWT algorithm: algorithm RLE(s): // INPUT // s = string // OUTPUT // compressed_string = the string after applying RLE compression compressed_string <- an empty string // store the compressed output i <- 0 while i < length(s): // count occurrences of character at index i count Oct 4, 2016 · In one archive I have 54 files at 114MB, when I use win rar, best compression method and check the "create solid archive" and the "lock archive" boxes I get a final size of 104MB, which is a compression of about 9%. Lossless image compression algorithms resize an image into smaller versions but don't compromise the image quality. The initial MLP algorithm for image compression was made public in 1988, and incorporated conventional image compression mechanisms such as spatial domain transformation, binary coding and quantization into an integrated optimization task. When applying Huffman encoding technique on an Image, the source symbols can be either pixel intensities of the Image, or the output of an intensity mapping function. However, they Mar 25, 2024 · Standard lossless compression algorithms include Huffman coding, arithmetic encoding, and run-length encoding. May 12, 2020 · There are many types of trees and all have their own uses. Apr 5, 2024 · Rapid and continuous advancements in remote sensing technology have resulted in finer resolutions and higher acquisition rates of hyperspectral images (HSIs). We are going to test the following compression algorithms: None Oct 25, 2010 · The best compression algorithm definitely depends of the kind of data you are dealing with. Introduction to Data Compression. Since the network bandwidth is always limited, we require efficient compression algorithms to facilitate fast and efficient sharing of data over the network. Scikit-image. Image is processed with a lossless filter that compresses the pixel data. This ensures images and files are never compressed too much. To obtain the best experience, we recommend you use a more up to DEFLATE, a lossless compression algorithm specified in 1996, is used in the Portable Network Graphics (PNG) format. The model component somehow captures the probability distribution of the messages by knowing or discovering something about the structure of the input. Machine-learning algorithms based on autoencoders, convolutional and adversarial May 16, 2017 · This plugin focuses on not only image compression but PDFs as well. [39] The JPEG 2000 standard was introduced in 2000. It is lossless meaning it will not affect the quality of your images. VLSI Architectures for Discrete Wavelet Transforms Jan 8, 2024 · Learn how to compress images in Java using built-in libraries and Apache Commons Imaging. 7z format). May 29, 2023 · With such large amounts of data, image compression techniques become important to compress the images and reduce storage space. 1. In the processes of compression, the mathematical transforms play a vital role. Preface. The Huffman coding is a type of lossless image compression algorithm used in medical fields and instruments where the loss of any kind of data or information is fatal like MRI, CT, or ultrasound images. PNG. Jun 22, 2023 · Although digital images are widely available, the storage of these images requires a large amount of data. zstd is also looking very good when the best compression level 19 and multiple cores are There are many good reasons to study compression algorithms. ShortPixel offers three image compression methods: Lossy, Glossy, and Lossless. kastatic. Topics: maximum compression benchmark, best file compressor, best archive format for max compression, 7z vs rar vs zpaq Oct 30, 2023 · Its advanced image compression algorithm, Smart Compression, sets it apart from the competition. They aim to represent the symbols used in the data in the shortest bit sequence. Mar 10, 2020 · Lossy compression algorithms deliver compression ratios that are high and represent most multimedia compression algorithms in image, video, and audio content. Sep 19, 2019 · developing a scalable compression algorithm that exploits this model’s theoretical compression potential. 36%. Image compression most often works either by removing bytes of information from the image, or by using an image compression algorithm to rewrite the image file in a way that takes up less storage space. Image compression reduces file size without compromising visual quality. The Jpeg compression method is designed to compress JPEG images. Jpeg compression. Best trade-off: If you need to pick a good overall algorithm without knowing too much about the scenario, then zstd shines. Q6. The stored zones are compressed based on the nested coverage of the image. Experiment with your own data to find out what works best for you. Our compression engine employs a smart algorithm to determine the best optimization levels tailored to each image's unique content, considering factors like colors, textures, and patterns. In this article, we will look at image compression using the K-means clustering algorithm which is an unsupervised learning algorithm. Now, we analyze some details regarding the use of k-means for image compression. What are image compression techniques? A. Thank you very much for your time in answering. quntqn npmcuxg axoiak aptyclgu spnfne aevzw zjokg uzfqj wvyob gwm