Fast disparity estimation using geometric properties and selective sample decimation for stereoscopic image coding

This paper present a fast disparity estimation algorithm based on limited range, directional search and selective sample decimation is presented. The proposed algorithm has focused on reduction of complexity while retaining good objective performance. The simulation results show: that complexity can...

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Bibliographic Details
Published inIEEE transactions on consumer electronics Vol. 45; no. 1; pp. 203 - 209
Main Authors Kim, Won-Ho, Ra, Sung-Woong
Format Journal Article
LanguageEnglish
Published IEEE 1999
Subjects
Algorithms
Broadcast technology
Cameras
Chromium
Complexity
Computational complexity
Electronics
Entropy
Equations
Image coding
Image quality
Lenses
Mathematical analysis
PSNR
Radio broadcasting
Searching
Stereoscopic
Vectors (mathematics)
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Summary:This paper present a fast disparity estimation algorithm based on limited range, directional search and selective sample decimation is presented. The proposed algorithm has focused on reduction of complexity while retaining good objective performance. The simulation results show: that complexity can be significantly reduced while the PSNR for Y, Cb and Cr is close to the one of full search. In addition, the entropy for disparity vectors is reduced compared to the one of full search.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0098-3063
1558-4127
DOI:10.1109/30.754437