Region-oriented compression of color images using fuzzy inference and shape adaptive DCT

Author

Makrogiannis, S. ; Schelkens, P. ; Fotopoulos, S. ; Cornelis, J.

Author_Institution

Electron. Lab., Patras Univ., Greece

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

478

Abstract

A new region-based compression scheme for color images is proposed. The segmentation method belongs to the split and merge category. Splitting is carried out using the watershed transform. In the merging stage, a fuzzy color preserving rule-based system is introduced to express the dissimilarity between two regions. The compression part is based on the shape adaptive DCT with ΔDC correction method. The quantization matrices have been designed according to the properties of the used transform. This method yields promising results, mostly attributed to the efficiency of the segmentation and particularly the fuzzy dissimilarity estimation

Keywords

data compression; discrete cosine transforms; fuzzy logic; image coding; image colour analysis; image segmentation; inference mechanisms; knowledge based systems; matrix algebra; quantisation (signal); transform coding; color image compression; fuzzy dissimilarity estimation; fuzzy inference; image segmentation; quantization matrices; shape adaptive DCT; Color; Discrete cosine transforms; Fuzzy systems; Image coding; Image segmentation; Knowledge based systems; Merging; Quantization; Shape; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958155

Filename

958155