A least-squares-based 2-D filtering scheme for stereo image compression

A two-dimensional (2-D) least squares (LS)-based filtering scheme for high fidelity stereo image compression applications is introduced in this correspondence. This method removes the effects of mismatching in a stereo image pair by applying the left image as the reference input to a 2-D transversal...

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Bibliographic Details
Published in:IEEE transactions on image processing 2000-11, Vol.9 (11), p.1967-1972
Main Authors: Seo, Sang-Hoon, Azimi-Sadjadi, M R, Tian, Bin
Format: Article
Language:English
Subjects:
Adaptive filters
Application software
Applied sciences
Artificial intelligence
Blocking
Computer science
control theory
systems
Exact sciences and technology
Filtering
Filtration
Image coding
Image compression
Image processing
Image reconstruction
Image resolution
Information, signal and communications theory
Least squares method
Least squares methods
Mathematical analysis
Motion estimation
Pattern recognition. Digital image processing. Computational geometry
Signal processing
Telecommunications and information theory
Transversal filters
Two dimensional displays
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Summary:A two-dimensional (2-D) least squares (LS)-based filtering scheme for high fidelity stereo image compression applications is introduced in this correspondence. This method removes the effects of mismatching in a stereo image pair by applying the left image as the reference input to a 2-D transversal filter while the right image is used as the desired output. The weights of the filter are computed using a block-based LS method. A reduced order filtering scheme is also introduced to find the optimum number of filter coefficients. The principal coefficients and the disparity vectors are used together with left image to reconstruct the right image at the receiver, The proposed schemes are examined on a real stereo image pair for 3D-TV applications and the results were benchmarked against those of the block-matching method.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.877217