Region-based near-lossless image compression

Author

Pinho, Armando J.

Author_Institution

Dept. de Electron. e Telecommun., Aveiro Univ., Portugal

Volume

3

fYear

2001

fDate

2001

Firstpage

1761

Abstract

We present a near-lossless technique for the compression of images, which is based on the partitioning of the image into regions of constant intensity. The boundary information associated with the image partition is encoded with the method of the transition points. The compression of the intensities of the regions is based on the usual entropy encoding of the context-modeled prediction residuals. The experimental results show that this approach is able to provide significant compression improvements in images having sparse histograms, for small L_∞ errors

Keywords

data compression; entropy codes; image coding; image segmentation; constant intensity regions; context-modeled prediction residuals; entropy encoding; image coding; image partitioning; image segmentation; near-lossless technique; region-based image compression; small L_∞ errors; sparse histograms; Biomedical imaging; Digital photography; Encoding; Entropy; Histograms; Image coding; Predictive models; Quantization; Remote sensing; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941281

Filename

941281