A new data compression scheme using orthogonal polynomials

Author

Krishnamoorthi, R. ; Bhattacharyya, P.

Author_Institution

Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur

Volume

1

fYear

1997

fDate

9-12 Sep 1997

Firstpage

490

Abstract

A new orthogonal polynomials based transform coding scheme has been presented in this paper. A class of orthogonal polynomial functions for obtaining polynomial operators with different sizes is proposed. The statistical design of experiments paradigm has been used to separate out the spatial variation within the image region due to discriminable low level features from the spatial variation due to unexplained sources called noise. The degree of this separationability can be controlled by specifying the level of signal-to-noise ratio. The process of separation of signals during polynomial transform coding is based on the proposed statistical hypothesis testing procedures. The results are encouraging

Keywords

data compression; design of experiments; image coding; polynomials; transform coding; data compression; discriminable low level features; image coding; image compression; image region; orthogonal polynomials; polynomial operator; signal separation process; signal-to-noise ratio; spatial variation; statistical design of experiments paradigm; statistical hypothesis testing; transform coding; Data compression; Discrete Fourier transforms; Fourier transforms; Image analysis; Image coding; Image edge detection; Image storage; Polynomials; Testing; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.647146

Filename

647146