Morphological Compensation for the Enhancement of Compressed Image

Author

Lin, Liyu ; Jiang, Zhiyong ; Qin, Qianqing

Author_Institution

Provincial Lab. for Internet Multi-Media, Wuhan Univ., Wuhan

fYear

2006

fDate

July 31 2006-Aug. 4 2006

Firstpage

798

Lastpage

802

Abstract

This paper describes a morphological compensation algorithm for the enhancement of grayscale image compression under the standard of JPEG and JPEG2000, which is more effective for remote sense image than for natural image. Morphological reconstruction is a nonlinear filter. When used for image enhancement it dilates some pixels while preserving the edge information. The algorithm has a close relationship with morphological reconstruction. When this compensation algorithm is applied to images, among which there are images compressed by standard JPEG2000 and JPEG, it can improve the quality of decompressed image.

Keywords

data compression; geophysical signal processing; image coding; image enhancement; image reconstruction; remote sensing; JPEG; JPEG2000; compressed image enhancement; grayscale image compression; image reconstruction; morphological compensation; remote sensing; Filtering; Gray-scale; Image coding; Image processing; Image reconstruction; Laboratories; Morphology; PSNR; Remote sensing; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on

Conference_Location

Denver, CO

Print_ISBN

0-7803-9510-7

Type

conf

DOI

10.1109/IGARSS.2006.205

Filename

4241352