Author: Keshi Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 224
Book Description
Adaptive Source Models for Reversible Compression of Digitized Images
Author: Keshi Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 224
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 224
Book Description
A Model-adaptive Universal Data Compression Architecture with Applications to Image Compression
Author: Joshua Ka-Wing Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 61
Book Description
In this thesis, I designed and implemented a model-adaptive data compression system for the compression of image data. The system is a realization and extension of the Model-Quantizer-Code-Separation Architecture for universal data compression which uses Low-Density-Parity-Check Codes for encoding and probabilistic graphical models and message-passing algorithms for decoding. We implement a lossless bi-level image data compressor as well as a lossy greyscale image compressor and explain how these compressors can rapidly adapt to changes in source models. We then show using these implementations that Restricted Boltzmann Machines are an effective source model for compressing image data compared to other compression methods by comparing compression performance using these source models on various image datasets.
Publisher:
ISBN:
Category :
Languages : en
Pages : 61
Book Description
In this thesis, I designed and implemented a model-adaptive data compression system for the compression of image data. The system is a realization and extension of the Model-Quantizer-Code-Separation Architecture for universal data compression which uses Low-Density-Parity-Check Codes for encoding and probabilistic graphical models and message-passing algorithms for decoding. We implement a lossless bi-level image data compressor as well as a lossy greyscale image compressor and explain how these compressors can rapidly adapt to changes in source models. We then show using these implementations that Restricted Boltzmann Machines are an effective source model for compressing image data compared to other compression methods by comparing compression performance using these source models on various image datasets.
Comparison of Lossless Image Compression Techniques based on Context Modeling
Author: Mohammad El-Ghoboushi
Publisher: GRIN Verlag
ISBN: 3656932832
Category : Computers
Languages : en
Pages : 85
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.
Publisher: GRIN Verlag
ISBN: 3656932832
Category : Computers
Languages : en
Pages : 85
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.
Reverse-engineering the Compression Algorithm of a Digital Camera
Author: Utku Yurday
Publisher:
ISBN:
Category :
Languages : en
Pages : 82
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 82
Book Description
Medical Imaging
Author:
Publisher:
ISBN:
Category : Imaging systems in medicine
Languages : en
Pages : 544
Book Description
Publisher:
ISBN:
Category : Imaging systems in medicine
Languages : en
Pages : 544
Book Description
Master's Theses Directories
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 560
Book Description
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 560
Book Description
Adaptive-model Predictive Lossless Compression of Medical Images
Author: Akmal A. Younis
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 208
Book Description
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 208
Book Description
Still-image Compression
Author:
Publisher:
ISBN:
Category : Image compression
Languages : en
Pages : 268
Book Description
Publisher:
ISBN:
Category : Image compression
Languages : en
Pages : 268
Book Description
Introduction to Data Compression
Author: Khalid Sayood
Publisher: Morgan Kaufmann
ISBN: 0128097051
Category : Computers
Languages : en
Pages : 792
Book Description
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package. - Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard - Includes more coverage of lattices in vector quantization - Contains improved and expanded end-of-chapter problems - Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
Publisher: Morgan Kaufmann
ISBN: 0128097051
Category : Computers
Languages : en
Pages : 792
Book Description
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package. - Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard - Includes more coverage of lattices in vector quantization - Contains improved and expanded end-of-chapter problems - Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
Scientific and Technical Aerospace Reports
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 772
Book Description
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 772
Book Description