Paper Info
Title
Edge-based motion compensated classified DCT with quadtree for image sequence coding
Abstract
The motion compensated discrete cosine transform coding (MCDCT) is an efficient image sequence coding technique. In order to further reduce the bit-rate for the quantizied DCT coefficients and keep the visual quality, we propose an adaptive edge-based quadtree motion compensated discrete cosine transform coding (EQDCT). In our proposed algorithm, the overhead moving information is encoded by a quadtree structure and the nonedge blocks will be encoded at lower bit-rate but the edge blocks will be encoded at higher bit-rate. The edge blocks will be further classified into four different classes according to the orientations and locations of the edges. Each class of edge blocks selects the different set of the DCT coefficients to be encoded. By this method, we can just preserve and encode a few DCT coefficients, but still maintain the visual quality of the images. In the proposed EQDCT image sequence coding scheme, the average bit-rate of each frame is reduced to 0.072 bit/pixel and the average PSNR value is 32.11 dB. (C) 1998 Elsevier Science B.V.
Year
DOI
Venue
1998
10.1016/S0923-5965(96)00046-X
SIGNAL PROCESSING-IMAGE COMMUNICATION
Keywords
Field
DocType
difference set,discrete cosine transform
ENCODE,Computer vision,Computer science,Discrete cosine transform,Theoretical computer science,Coding (social sciences),Pixel,Artificial intelligence,Image sequence,Quadtree
Journal
Volume
Issue
ISSN
11
3
0923-5965
Citations 
PageRank 
References 
0
0.34
13
Authors
3
Name
Order
Citations
PageRank
Ji-Ying Chang100.34
Ruey-Feng Chang239534.88
Wen-Jia Kuo3393.09