By Feng Wu
Visible details is among the richest and so much bandwidth-consuming modes of communique. to satisfy the necessities of rising functions, strong facts compression and transmission suggestions are required to accomplish hugely effective verbal exchange, even within the presence of becoming conversation channels that provide elevated bandwidth.
Presenting the result of the author’s years of analysis on visible info compression and transmission, Advances in visible facts Compression and verbal exchange: assembly the necessities of latest purposes offers a theoretical and technical foundation for complicated learn on visible information compression and communication.
The ebook reports the drifting challenge in scalable video coding, analyzes the explanations inflicting the matter, and proposes numerous options to the matter. It explores the author’s Barbell-based lifting coding scheme that has been followed as universal software program via MPEG. It additionally proposes a unified framework for deriving a directional remodel 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 diversified elements, together with complicated snapshot synthesis—from description and reconstruction to organizing correlated photos as a pseudo series. It explains how you can follow compressive sensing to resolve the knowledge compression challenge in the course of transmission and covers novel learn on compressive sensor information accumulating, random projection codes, and compressive modulation.
For analog and electronic transmission applied sciences, the e-book develops the pseudo-analog transmission for media and explores state of the art learn on disbursed pseudo-analog transmission, denoising in pseudo-analog transmission, and helping MIMO. It concludes via contemplating rising advancements of knowledge conception for destiny purposes.
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Extra resources for Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications
How well can we do in getting as close to perfect as possible? To answer this question, it is necessary to define a distortion measure, which is a measure of distance between the random variable and its representation. The basic problem with the rate distortion theory can be stated as follows: given a source distribution and a distortion measure, what is the minimum expected distortion achievable at a particular rate? Or, what is the minimum rate description required to achieve a particular distortion?
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.
In this case, it is difficult to tell which x is really sent out. Therefore, in channel coding X is mapped into some sequence Y of channel codewords. Y is usually redundant because there are no other valid codewords in a neighboring space of every valid codeword. Yˆ is the output of the channel. The output sequence Yˆ is random but has a distribution that depends on the input sequence Y . From the output sequence, we attempt to recover the transmitted source. Each of the possible input sequences induces a probability distribution on the output sequences.