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Deblocking and embedded coding in im...

Gao, Feng.

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Deblocking and embedded coding in image communication systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deblocking and embedded coding in image communication systems./
Author:	Gao, Feng.
Description:	138 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-07, Section: B, page: 3601.
Contained By:	Dissertation Abstracts International65-07B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3141353
ISBN:	0496884851

Deblocking and embedded coding in image communication systems.
Gao, Feng.

Deblocking and embedded coding in image communication systems. - 138 p.

Source: Dissertation Abstracts International, Volume: 65-07, Section: B, page: 3601.

Thesis (Ph.D.)--University of Cincinnati, 2004.

This dissertation addresses two problems in image communication systems. The first problem is blocking effects reduction and the second problem is embedded coding. The problem of blocking effects reduction is in any image compression processes which use block discrete cosine transform (BDCT) technique with high compression rate in image communication systems, such as JPEG and MPEG. Since the BDCT is used block by block in a frame of image without considering the correlations between every two neighboring blocks, it results in block artifacts which appear on many edges between two neighboring blocks. These artifacts, called blocking effects, deteriorate the quality of the decoded image, especially when bit rate is lower.

ISBN: 0496884851Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Deblocking and embedded coding in image communication systems.
LDR:02931nmm 2200301 4500 001 1840825
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020 $a 0496884851
035 $a (UnM)AAI3141353
035 $a AAI3141353
040 $a UnM $c UnM
100 1 $a Gao, Feng. $3 1675885
245 1 0 $a Deblocking and embedded coding in image communication systems.
300 $a 138 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-07, Section: B, page: 3601.
500 $a Chair: William G. Wee.
502 $a Thesis (Ph.D.)--University of Cincinnati, 2004.
520 $a This dissertation addresses two problems in image communication systems. The first problem is blocking effects reduction and the second problem is embedded coding. The problem of blocking effects reduction is in any image compression processes which use block discrete cosine transform (BDCT) technique with high compression rate in image communication systems, such as JPEG and MPEG. Since the BDCT is used block by block in a frame of image without considering the correlations between every two neighboring blocks, it results in block artifacts which appear on many edges between two neighboring blocks. These artifacts, called blocking effects, deteriorate the quality of the decoded image, especially when bit rate is lower.
520 $a There are two approaches proposed for the problem of blocking effects reduction in this dissertation. The first approach is presented in spatial domain. A gradient flow optimization method is applied to the problem of blocking effects reduction in transform coding. By using the characteristic of gradient flow, an optimal filter design method and an optimal reconstruction method for reducing the blocking effects are presented.
520 $a The second approach to the problem of blocking effects reduction is presented in spatial-frequency domain. A new algorithm designed in spatial frequency domain is presented. This algorithm is based on dyadic wavelet transform and optimal interpolation technique. The main advantage of this algorithm is its simplicity and easy implementation.
520 $a The second research problem the dissertation discusses is embedded coding problem in image transmission. To this end, the lifting scheme (LS) theory in wavelet transform and the tree-structured vector quantization (TSVQ) theory are introduced first. Combining the lifting scheme theory and the tree-structured vector quantization theory, a novel algorithm for embedded coding is then proposed. The algorithm combines the main techniques of the lifting scheme and the tree structured vector quantization. (Abstract shortened by UMI.)
590 $a School code: 0045.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 0 $a University of Cincinnati. $3 960309
773 0 $t Dissertation Abstracts International $g 65-07B.
790 1 0 $a Wee, William G., $e advisor
790 $a 0045
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3141353