By Wu F.

ISBN-10: 1482234157

ISBN-13: 9781482234152

Show description

Read Online or Download Advances in visual data compression and communication PDF

Similar imaging systems books

New PDF release: Advanced Image Processing in Magnetic Resonance Imaging

The recognition of magnetic resonance (MR) imaging in drugs is not any secret: it's non-invasive, it produces prime quality structural and sensible photo info, and it's very flexible and versatile. learn into MR know-how is advancing at a blistering speed, and sleek engineers needs to stay alongside of the most recent advancements.

Read e-book online Time-frequency time-scale analysis PDF

This hugely acclaimed paintings has to date been on hand simply in French. it's a distinct survey of a number of thoughts for time-frequency/time-scale research (the essence of "Wavelet Analysis"). This ebook has vast and complete insurance of an issue of prepared curiosity to various engineers, particularly these inquisitive about sign and photo processing.

New PDF release: Optical Imaging Techniques in Cell Biology

Because the notice microscopy was once coined in 1656, the evolution of the tool has had a protracted and convoluted heritage. Plagued with difficulties of chromatic aberration, round aberration, and demanding situations with illumination and determination, the microscope’s technical development occurred in a chain of matches and begins till the overdue nineteenth century.

Virendra N. Mahajan's Optical imaging and aberrations. / Part I, Ray geometrical PDF

This publication examines how aberrations come up in optical structures and the way they impact optical wave propagation and imaging in keeping with geometrical and actual optics. It specializes in strategies, actual perception, and mathematical simplicity, meant for college kids and pros. Figures and drawings illustrate innovations and increase clarity.

Extra resources for Advances in visual data compression and communication

Sample text

Huffman coding and arithmetic coding are taken as examples to explain what source coding is and how a source is compressed toward its entropy. The rate distortion theorem is also discussed because of its importance to guiding the lossy compression of a source. Second, we introduce the concept of channel capacity, which is the maximum rate that a channel can be used with negligible transmission errors, according to Shannon’s channel coding theorem. Hamming code is taken as an example to explain how channel coding works.

Video resolution has been increasing from early quarter common intermediate format (QCIF) to current high definition (HD). The increasing magnitude of visual data is also verified by wired and wireless network traffic. According to the Cisco visual networking index: forecast and methodology (2011–2016) [2], Internet video traffic will comprise 55% of all Internet traffic by 2016, rising from 51% in 2011. This does not include videos exchanged through peer-to-peer (P2P) file sharing. The sum of all forms of video, including television (TV), video on demand (VoD), Internet, and P2P, will be approximately 86% of all Internet traffic by 2016.

The theoretical basis of compression and transmission of visual data is Shannon’s information theory [4]. 1. A transmitter sends a source S over a noisy channel to a receiver. The channel adds a certain noise to the transmitted source. 1 The basic framework for source and channel coding. data with noise. To efficiently achieve it, there are two core technologies needed: source coding and channel coding. Source usually contains a certain redundancy and thus directly transmitting it would cost more channel bandwidth than what is really needed.

Download PDF sample

Advances in visual data compression and communication by Wu F.

by Joseph

New PDF release: Advances in visual data compression and communication
Rated 4.17 of 5 – based on 46 votes