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

Author

Seo, Sang-Hoon ; Azimi-Sadjadi, Mahmood R. ; Tian, Bin

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO, USA

Volume

9

Issue

11

fYear

2000

fDate

11/1/2000 12:00:00 AM

Firstpage

1967

Lastpage

1972

Abstract

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

Keywords

data compression; filtering theory; image coding; image matching; image reconstruction; least squares approximations; motion estimation; stereo image processing; three-dimensional television; 2D filtering scheme; 2D transversal filter; 3D-TV applications; block-based LS method; block-matching method; disparity vectors; filter coefficients; high fidelity stereo images; least squares-based filtering scheme; left image; mismatching effects; principal coefficients; reduced order filtering scheme; right image; stereo image compression; stereo image pair; Adaptive filters; Application software; Filtering; Image coding; Image reconstruction; Image resolution; Least squares methods; Motion estimation; Transversal filters; Two dimensional displays;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.877217

Filename

877217