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Progressive vector quantization on a massively parallel SIMD machine with application to multispectral image data

M. Manohar, J.C. Tilton
1996 IEEE Transactions on Image Processing  
The final level is I losslessly compressed, enabling lossless reconstruction. The computational difficulties are <f j addressed by implementation on a massively parallel SIMD machine.  ...  A progressive Vector Quantization (VQ) compression approach is discussed which idecomposes image data into a number of levels using full search VQ.  ...  The blocks (or cubes) are converted to vectors by performing a raster scan (band by band) of each block. A discussion of VQ compression techniques for multispectral images can be found in [3] .  ... 
doi:10.1109/83.481678 pmid:18285097 fatcat:etpvdm6cmbhvngusf2d44lslge

Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction

Xiaoying Song, Qijun Huang, Sheng Chang, Jin He, Hao Wang
2016 Journal of digital imaging  
To address the low compression efficiency of lossless compression and the low image quality of general near-lossless compression, a novel near-lossless compression algorithm based on adaptive spatial prediction  ...  The results indicate that the proposed algorithm can efficiently compress medical images and produces a better peak signal-to-noise ratio (PSNR) under the same pre-defined distortion than other near-lossless  ...  [16] presented a progressive block matching method in which all reference blocks are processed in parallel and matches are iterated row by row.  ... 
doi:10.1007/s10278-016-9892-y pmid:27417207 pmcid:PMC5114232 fatcat:pughm2ggxjffvpr4m42bwxbd6y

Lossy and lossless image encoding using multi-scale recurrent pattern matching

Danillo Bracco Graziosi, Murilo B. de Carvalho, Sérgio Manuel Maciel de Faria, Nuno Miguel Rodrigues, Eduardo A.B. da Silva
2013 IET Image Processing  
In this study, the authors investigate the use of multi-scale recurrent pattern matching paradigm for lossless image compression.  ...  The multi-scale multidimensional parser (MMP) algorithm is a successful implementation of this paradigm for lossy image compression, and can naturally perform lossless compression since it was first derived  ...  The coding approach introduced by the MMP algorithm, using a flexible prediction scheme followed by multi-scale pattern matching was shown to be an efficient tool for lossy and lossless encoding of a large  ... 
doi:10.1049/iet-ipr.2012.0538 fatcat:h2byanidpnaphjmh52754pixhy

Image Compression Technique Based on Fractal Image Compression Using Neural Network – A Review

Diyar Waysi Naaman
2021 Asian Journal of Research in Computer Science  
An artificial intelligence technique similar to a neural network is used to reduce the search space and encoding time for images by employing a neural network algorithm known as the "back propagation"  ...  For each range block its most matched domain is selected, its range index is produced and best matched domains index is the expert system's input, which reduces matching domain blocks in sets of results  ...  This review focused on fractal image compression for MRI images by employing a neural network algorithm known as "back propagation," used to reduce the search space and encoding time for images, allowing  ... 
doi:10.9734/ajrcos/2021/v10i430249 fatcat:xfzerlnpynanfolnypa7nbzm6i

Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks [article]

Atefe Rajaeefar, Ali Emami, S.M.Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
2018 arXiv   pre-print
In this paper a high precision compression algorithm with high compression ratio is proposed. In this algorithm we use the similarity between frames to compress the data more efficiently.  ...  One of the important parts of a capsule endoscopy system is the image compression unit. Better compression of images increases the frame rate and hence improves the diagnosis process.  ...  Compression ratio is defined as the ratio Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks Atefe Rajaeefar, Ali Emami, S.M.Reza Soroushmehr  ... 
arXiv:1802.07781v1 fatcat:pbyzm6qsyrfj5pcqsw22cmkmoq

Image Compression Study using Diversified Approaches

Jayshree R Pansare, Ketki R Jadhav
2017 Advances In Image and Video Processing  
The aim of image compression algorithm is to reduce amount of data required to represent image with less degradation without loss.  ...  This paper studies diversified approaches for compression of images such as FELICS, Wavelet transformation based approach, Prediction based approach, Combination of method based approach and Block coding  ...  For lossless image compression, RGB is first transformed into YCbCr by RCT. Y channels are encoded by a conventional grayscale image compression algorithm.  ... 
doi:10.14738/aivp.51.2717 fatcat:uggstzinjncjtbh4pd3llt64oa

Design and Implementation of Lempel-Ziv Data Compression using FPGA

Gehad Mohey, Abdelhalim Zekry, Hatem Zakaria
2021 International Journal of Computer Applications  
The Lempel-Ziv algorithm is one of the most widely used among lossless data compression algorithms for hardware implementation.  ...  In this paper, a Lempel-Ziv algorithm for data compression was implemented through VHDL coding.  ...  Block RAM Block RAM is used as a data buffer. The dictionary size is a parameter for a wide range of applications, from text compression to lossless images compression.  ... 
doi:10.5120/ijca2021921008 fatcat:qe4biziyxrgehdf4rnsivrejoi

CULZSS: LZSS Lossless Data Compression on CUDA

Adnan Ozsoy, Martin Swany
2011 2011 IEEE International Conference on Cluster Computing  
Our work targets the use of the opportunities in GPU based systems by exploiting the parallelism in compression algorithms.  ...  In this paper we present an implementation of Lempel-Ziv-Storer-Szymanski(LZSS) lossless data compression algorithm by using NVIDIA GPUs Compute Unified Device Architecture (CUDA) Framework.  ...  The work that is distributed among block threads is the matching phase of the compression for a single block ( Figure 3 ). 1) CULZSS Version 1 : In the background section, LZSS algorithm steps show  ... 
doi:10.1109/cluster.2011.52 dblp:conf/cluster/OzsoyS11 fatcat:vt2si24fbnbbnijz4l5pjwj6ge


A. Akoguz, S. Bozkurt, A. A. Gozutok, G. Alp, E. G. Turan, M. Bogaz, S. Kent
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
performances of these algorithms over sample datasets in terms of how much of the image data can be compressed by ensuring lossless compression.  ...  chain Algorithm (LZMA &amp; LZMA2), Lempel-Ziv-Oberhumer (LZO), Deflate &amp; Deflate 64, Prediction by Partial Matching (PPMd or PPM2), Burrows-Wheeler Transform (BWT) in order to observe compression  ...  ACKNOWLEDGEMENTS SPOT6 & SPOT7 extracted scenes were kindly provided by Istanbul Technical University Center for Satellite Communication and Remote Sensing (ITU-CSCRS), the first satellite ground receiving  ... 
doi:10.5194/isprs-archives-xli-b4-3-2016 fatcat:4dfoecniavctxgwaqmmxfv6mte

Lossless Decompression Accelerator for Embedded Processor with GUI

Gwan Beom Hwang, Kwon Neung Cho, Chang Yeop Han, Hyun Woo Oh, Young Hyun Yoon, and Seung Eun Lee
2021 Micromachines  
In this paper, we propose a lossless decompression accelerator for an embedded processor, which supports LZ77 decompression and static Huffman decoding for an inflate algorithm.  ...  Because of the limitation of memory resource, employing compressed data is efficient for an embedded system.  ...  However, in the case of image compression for constructing a GUI, a lossless compression can achieve a high compression ratio, as similar as to the lossy compression, while maintaining image quality [  ... 
doi:10.3390/mi12020145 pmid:33572563 pmcid:PMC7911039 fatcat:emg5vmlgtzexlfhrwv5odua27y

Dictionary-Type Data Compression for Gray-Scale Images

Mi Lu
Combination of approximate matching and exact matching using a non-greedy parsing algorithm. Our method is better than the UNIX compress and worst JPEG, and sometimes better than the best JPEG.  ...  We explore modifications of the LZ77 type dictionary compression algorithm so that it can compress gray-scale images efficiently. We consider the following modifications to the LZ77 compression: 1.  ...  These positions are determined by the width of the image and does not change while compressing a image.  ... 
doi:10.6084/m9.figshare.13661135.v1 fatcat:vav65cuydfcunn5ma6r5demctm

Significance of Image Compression and Its Upshots - A Survey

S. Boopathiraja, P. Kalavathi, C. Dhanalakshmi
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Image compression is mainly used for reduce the storage size and transmission cost of an image. Based on the quality requirement, it is classified as either lossy or lossless.  ...  In the recent years, digital imaging and multimedia are comprising a large growth.  ...  In this work presents a novel framework for image compression by sequential and parallel processing techniques with different multi core processor.  ... 
doi:10.32628/cseit1952321 fatcat:eosspfnyifdkxjfnnyoofyumxu

A Review of Image Compression Using Fractal Image Compression with Neural Network

Shamina Khatun, Anas Iqbal
2018 International Journal of Innovative Research in Computer Science & Technology  
Generally the fractal image compression is a new process in the images compression.  ...  It is a block based image compression technique, which detects and decodes the existing similarities between different regions in the image.  ...  Encoding Phase During the encoding phase, the expert system takes the index of the range block of MRI image one by one as its input and it produces a set of domain blocks for the parallel range block.  ... 
doi:10.21276/ijircst.2018.6.2.1 fatcat:zqiqzfu73jhcpdekh2ld4uf66i

A lossless embedded compression algorithm for high definition video coding

Jaemoon Kim, Jungsoo Kim, Chong-Min Kyung
2009 2009 IEEE International Conference on Multimedia and Expo  
This paper first proposes a lossless embedded compression algorithm with high compression ratio along with the hardware architecture for high throughput.  ...  With a rapid increase of image resolution in recent mobile video systems, the memory bandwidth and power consumption have surfaced as critical problems in video coding.  ...  In this paper, we propose a lossless embedded compression algorithm based on a spatial prediction in a given block and the so-called truncated bit packing technique.  ... 
doi:10.1109/icme.2009.5202469 dblp:conf/icmcs/KimKK09 fatcat:2xsozmqxdrentiml5pr74o22dq


Azlan Muharam, Afandi Ahmad
2017 Jurnal Teknologi  
Medical image processing is a niche area concerned with the operations and processes of generating images of the human body for clinical purposes.  ...  Referring to the previous work reviewed, most of the compression method used lossless rather than lossy.  ...  [72] ✓ Full Search Block Matching Algorithm SOFTWARE AND HARDWARE-BASED IMPLEMENTATION OF THE COMPRESSION SYSTEMS The nature of image compression is focused on software implementations and showing  ... 
doi:10.11113/jt.v79.7873 fatcat:ygxpova2xbb3zd3yweyfwgph74
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