A method for selective color images compression

Author

de Miranda Gomes, D. ; de Almeida Filho, Wedson T. ; Neto, Adrião D Dória

Author_Institution

Dept. of Comput. Eng. & Autom., UFRN, Natal, Brazil

Volume

2

fYear

2003

fDate

20-24 July 2003

Firstpage

1207

Abstract

Some applications that make use of digital images do not allow that the last are compressed with loss of information. A solution for this problem can be the use of a selective compression method, where determined regions of the image where the loss of information is not tolerable (regions of interest RoI) are compressed without losses and the remaining portion with losses, making possible to reach high compression ratios. This paper proposes a selective compression method of digital color images where the perfect reconstruction of the regions of interest is guaranteed. The method uses competitive neural networks, mathematical morphology, Huffman adaptive coding and wavelet transform.

Keywords

Huffman codes; adaptive codes; image coding; image colour analysis; image reconstruction; mathematical morphology; neural nets; wavelet transforms; Huffman adaptive coding; competitive neural networks; compression ratios; digital color images; information loss; mathematical morphology; perfect reconstruction; regions of interest; selective color images compression; wavelet transform; Application software; Automation; Color; Computer industry; Digital images; Image coding; Image reconstruction; Morphology; Neural networks; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2003. Proceedings of the International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-7898-9

Type

conf

DOI

10.1109/IJCNN.2003.1223864

Filename

1223864