A Comparative Analysis of Image Data Compression Techniques PDF Download
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Author: Dixon Frederick Dabipi
Publisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 120
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Book Description
Author: Dixon Frederick Dabipi
Publisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 120
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Book Description
Author: Darren Woodman
Publisher:
ISBN:
Category : Data compression (Telecommunication)
Languages : en
Pages : 124
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Book Description
Author: Euiseok Lee
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 96
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Book Description
Author: Mohammad El-Ghoboushi
Publisher: GRIN Verlag
ISBN: 3656932832
Category : Computers
Languages : en
Pages : 85
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Book Description
Master's Thesis from the year 2014 in the subject Computer Science - Software, , course: Image Processing, language: English, abstract: In this thesis various methods for lossless compression of source image data are analyzed and discussed. The main focus in this work is lossless compression algorithms based on context modeling using tree structure. We are going to compare CALIC, GCT-I algorithms to the JPEG2000 standard algorithm which will be considered the reference of comparison. This work includes research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram which may lead to improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. As when any pixel to be encoded has a different grey level than any of the neighboring pixels, CALIC triggers an escape sequence that switches the algorithm from binary mode to continuous-tone mode. Which means in this case the pixel will be treated as if it was in continuous-tone region. This minor modification should improve CALIC performance in binary images. Finally, we are going to discuss the GCT-I on medical images and compare results to the JPEG2000 standard.
Author: Nayak, Soumya Ranjan
Publisher: IGI Global
ISBN: 1799800687
Category : Computers
Languages : en
Pages : 305
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Book Description
Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well as recent trends in other soft computing techniques. Featuring research on topics such as image compression, pattern matching, and artificial neural networks, this book is ideally designed for system engineers, computer engineers, professionals, academicians, researchers, and students seeking coverage on problem-oriented processing techniques and imaging technologies.
Author: Majid Rabbani
Publisher: SPIE Press
ISBN: 9780819406484
Category : Computers
Languages : en
Pages : 248
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Book Description
In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.
Author: Frederick Louis Ricker
Publisher:
ISBN:
Category : Computer graphics
Languages : en
Pages : 362
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Author: William M. Humphreys
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Mohamed Nagy Saad Mohamed Elziftawy
Publisher: LAP Lambert Academic Publishing
ISBN: 9783848428182
Category :
Languages : en
Pages : 184
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Book Description
The objective of this study is to maximize the compression ratio while preserving images' information. The study has considered a set of images from both medical and biometric modalities. The dataset is subjected to four compression techniques which include both lossless and lossy techniques. The lossless techniques are Huffman and Arithmetic. The lossy techniques are Discrete Cosine Transform and Wavelet Transform. The maximum compression ratio for each image is chosen by three experts (for the medical dataset); while an identification software is used for biometric dataset. The next enhancement is done by isolating the region of interest in the image then applying the compression procedure. The last enhancement is the hybrid process which combines the lossless compression technique for the essential regions, and the lossy compression technique for the nonessential regions.This could be done using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process.
Author: Timothy C. Bell
Publisher: Englewood Cliffs, N.J. : Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 344
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Book Description
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