Get Advances in Visual Data Compression and Communication: PDF

By Feng Wu

ISBN-10: 1482234157

ISBN-13: 9781482234152

Visible details is likely one of the richest and so much bandwidth-consuming modes of conversation. to satisfy the necessities of rising purposes, strong information compression and transmission innovations are required to accomplish hugely effective verbal exchange, even within the presence of turning out to be verbal exchange channels that supply elevated bandwidth.

Presenting the result of the author’s years of study on visible information compression and transmission, Advances in visible info Compression and conversation: assembly the necessities of latest purposes offers a theoretical and technical foundation for complicated study on visible information compression and communication.

The publication experiences the drifting challenge in scalable video coding, analyzes the explanations inflicting the matter, and proposes quite a few options to the matter. It explores the author’s Barbell-based lifting coding scheme that has been followed as universal software program by means of MPEG. It additionally proposes a unified framework for deriving a directional rework from the nondirectional counterpart. The constitution of the framework and the statistic distribution of coefficients are just like these of the nondirectional transforms, which enables next entropy coding.

Exploring the visible correlation that exists in media, the textual content extends the present coding framework from assorted elements, together with complicated picture synthesis—from description and reconstruction to organizing correlated photographs as a pseudo series. It explains easy methods to follow compressive sensing to unravel the information compression challenge in the course of transmission and covers novel examine on compressive sensor facts amassing, random projection codes, and compressive modulation.

For analog and electronic transmission applied sciences, the publication develops the pseudo-analog transmission for media and explores state-of-the-art learn on dispensed pseudo-analog transmission, denoising in pseudo-analog transmission, and assisting MIMO. It concludes by way of contemplating rising advancements of knowledge thought for destiny purposes.

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Additional resources for Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications

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If we are given R bits to represent S, Sˆ can take on 2R values. Here, we assume that all values have the same probability to occur and thus the coding process is not considered. The problem is finding the optimum set of values for Sˆ (called the reproduction points) and the regions that are associated with ˆ each value S. For example, let S ∼ N(0, σs2 ) and assume a squared distortion measure. If 1 bit is given to represent S, it is clear that the bit should distinguish whether S > 0 or not. To minimize the squared error, each reproduced symbol should be at the conditional mean of its region, thus  2    σs , i f s ≥ 0 π .

2, respectively. 3. However, the redundancy of image and video is more complicated than the sources studied in information theory. It is hard to characterize it by simple statistical models. Therefore, more compression technologies have to be developed to handle the complicated redundancy. 1 Hybrid Coding Framework Let us take video as an example to discuss redundancy in visual data. Video consists of a series of continuously captured pictures. Each individual picture can be viewed as an image or photo.

Hamming codes of length n = 2m − 1 and dimension k = 2m − m − 1 exist for every m ≥ 2, having parity check matrices whose columns are binary representations of the numbers from 1 through n. Supposing that a codeword y is sent and the received vector is yˆ = y + z (addition modulo 2). 64) The decoding computes the syndrome d = yˆ H T = (y + z)H T = zH T . 65) Because of the property in Eq. 61), the syndrome depends only on the error Z and not on the transmitted codeword. If d = 0, then the decoded codeword is y.

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Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications by Feng Wu

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