DocumentCode
778369
Title
An edge-oriented progressive image coding
Author
Itoh, Yuji
Author_Institution
Digital Audio & Video Syst. Lab., Texas Instrum. Tsukuba Res. & Dev. Center Ltd., Ibaraki, Japan
Volume
6
Issue
2
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
135
Lastpage
142
Abstract
An edge-oriented progressive image coding scheme using a hierarchical edge extraction is presented. This scheme is based on the two-component model, that is, edges and smooth component. We introduce searching near an approximate location algorithm for the edge extraction to avoid detecting spurious edges, thus, one can reproduce a primary image which conveys a general grasp of the scene while achieving the compression ratios as high as 250:1 for a head-and-shoulder image. By adding the smooth component to the primary image, we obtain acceptable quality images at the compression ratios over 60:1. It is shown through the simulations that the proposed scheme results in performance improvements over MPEG-2 I-picture coding in terms of both the subjective quality and signal-to-noise ratio. The main contributors of the performance improvement are: (1) a compact representation of the edge information using a hierarchical edge extraction and (2) a residual coding with a variable block size discrete cosine transform (DCT) employing an edge-based block segmentation
Keywords
data compression; discrete cosine transforms; edge detection; image coding; image reconstruction; image representation; image segmentation; smoothing methods; transform coding; DCT; MPEG-2 I-picture coding; SNR; approximate location algorithm; compression ratios; edge based block segmentation; edge information representation; edge oriented progressive image coding; head-and-shoulder image; hierarchical edge extraction; image quality; image reconstruction; performance; primary image reproduction; residual coding; searching; signal-to-noise ratio; smooth component; subjective quality; two-component model; variable block size discrete cosine transform; Bit rate; Discrete cosine transforms; Humans; ISO standards; Image coding; Image edge detection; Image reconstruction; Layout; Signal to noise ratio; Transform coding;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.488821
Filename
488821
Link To Document