Adaptive Data Compression for Monochromatic Imagery PDF Download
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Author: Dorothy Virginia Baba
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 286
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Author: Dorothy Virginia Baba
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 286
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Book Description
Author: Pramod Patel
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 180
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Book Description
Author: Ramakrishna Nallapati
Publisher:
ISBN:
Category : Image compression
Languages : en
Pages : 128
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Book Description
Author: Hiroshi Yasunishi
Publisher:
ISBN:
Category : Digital communications
Languages : en
Pages : 182
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Book Description
Author: Joshua Ka-Wing Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 61
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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.
Author: Gary Victor Vacon
Publisher:
ISBN:
Category : Data compression (Telecommunication)
Languages : en
Pages : 104
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Author: Alain Pascal Zarembowitch
Publisher:
ISBN:
Category : Data compression (Telecommunication)
Languages : en
Pages : 236
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Author: Majid Rabbani
Publisher: SPIE-International Society for Optical Engineering
ISBN:
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: Bin Zhang
Publisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 162
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Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1572
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