Image and video compression for multimedia engineering: by Yun Q. Shi, Huifang Sun

By Yun Q. Shi, Huifang Sun

Multimedia nonetheless can't accommodate the call for for big quantities of visible information. with out the new release of top of the range video bitstreams, restricted services will proceed to stifle the development of multimedia applied sciences. Thorough grounding in coding is required in order that functions equivalent to MPEG-4 and JPEG 2000 could come to fruition.

Image and Video Compression for Multimedia Engineering presents a high-quality, entire knowing of the basics and algorithms that bring about the construction of latest tools for producing top of the range video bit streams. The authors current a couple of correct advances besides foreign criteria.

New to the second one version

· A bankruptcy describing the lately built video coding general, MPEG-Part 10 Advances Video Coding often referred to as H.264

· basic ideas and algorithms of JPEG2000

· colour structures of electronic video

· up to date video coding criteria and profiles

Visual info, photograph, and video coding will proceed to let the production of complex undefined, appropriate to the calls for of latest purposes. overlaying either photograph and video compression, this publication yields a different, self-contained reference for practitioners tobuild a foundation for destiny learn, learn, and development.

Show description

By Yun Q. Shi, Huifang Sun

Multimedia nonetheless can't accommodate the call for for big quantities of visible information. with out the new release of top of the range video bitstreams, restricted services will proceed to stifle the development of multimedia applied sciences. Thorough grounding in coding is required in order that functions equivalent to MPEG-4 and JPEG 2000 could come to fruition.

Image and Video Compression for Multimedia Engineering presents a high-quality, entire knowing of the basics and algorithms that bring about the construction of latest tools for producing top of the range video bit streams. The authors current a couple of correct advances besides foreign criteria.

New to the second one version

· A bankruptcy describing the lately built video coding general, MPEG-Part 10 Advances Video Coding often referred to as H.264

· basic ideas and algorithms of JPEG2000

· colour structures of electronic video

· up to date video coding criteria and profiles

Visual info, photograph, and video coding will proceed to let the production of complex undefined, appropriate to the calls for of latest purposes. overlaying either photograph and video compression, this publication yields a different, self-contained reference for practitioners tobuild a foundation for destiny learn, learn, and development.

Show description

Read Online or Download Image and video compression for multimedia engineering: fundamentals, algorithms, and standards PDF

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Additional resources for Image and video compression for multimedia engineering: fundamentals, algorithms, and standards

Example text

Finally, the current digital image=video coding standards are summarized. The full names and abbreviations of some organizations, the completion time, and the major features of various image=video coding standards are listed in two tables. Chapter 16 is devoted to video coding standards MPEG-1=2, which are the most widely used video coding standards at present. The basic technique of MPEG-1=2 is a full-motion compensated DCT and DPCM hybrid coding algorithm. The features of MPEG-1 (including layered data structure) and the MPEG-2 enhancements (including field=frame modes for supporting the interlaced video input and scalability extension) are described.

1 implies a logarithmic response of the HVS, and Weber’s law holds for all other human senses as well. Further research has indicated that the luminance threshold DI increases more slowly than predicted by Weber’s law. Some more accurate contrast sensitivity functions have been presented in the literature. In [legge 1980], it was reported that an exponential function replaces the linear relation in Weber’s law. The following exponential expression is reported in [watson 1987]. 7. 8 shows a picture uniformly corrupted by additive white Gaussian noise (AWGN).

L are selected objective measurements. The a0, ai, i ¼ 1, . . , l are coefficients in the linear model of the objective assessment. The results of the objective and subjective assessments are applied to a statistical analysis block. In the statistical analysis block, the objective assessment rating is compared with the subjective assessment rating. 12 Block diagram of objective assessment based on subjective assessment. ß 2007 by Taylor & Francis Group, LLC. Statistical analysis Output: estimate of subjective assessment feature selection block.

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