HOS-based filtering scheme for stereo image compression

Author

Hassouni, M. El ; Cherifi, H.

Author_Institution

Fac. of Sci., Bourgogne Univ., Dijon, France

Volume

2

fYear

2003

fDate

2-5 July 2003

Firstpage

531

Abstract

In this paper, a new HOS-based filtering scheme for stereo image compression applications is introduced. This method removes the effects of noise 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 filter weights are computed using a block-based cumulants matching method. Using higher order statistics is appropriate in case where the stereo image pair is corrupted by zero-mean additive noise. Experiments were performed on a test and real stereo image pairs and results were compared with the least square (LS) and block-matching based methods.

Keywords

data compression; higher order statistics; image coding; stereo image processing; two-dimensional digital filters; 2-D transversal filter; HOS-based filtering scheme; block-based cumulants matching method; filter weights; higher order statistics; stereo image compression; zero-mean additive noise; Cost function; Filtering; Gaussian noise; Higher order statistics; Image coding; Least squares methods; Motion estimation; Optical filters; Optical receivers; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on

Print_ISBN

953-184-054-7

Type

conf

DOI

10.1109/VIPMC.2003.1220518

Filename

1220518