Scalable subband image coding with segmented orthogonal matching pursuit

Author

Rabiee, Hamid R. ; Safavian, S.R. ; Kashap, R.L. ; Saeed, M.

Author_Institution

Media & Interconnect Technol. Lab., Intel Corp., Hillsboro, OR, USA

Volume

1

fYear

1998

fDate

4-7 Oct 1998

Firstpage

774

Abstract

In this paper, a novel algorithm for low bit-rate image compression is presented. In this technique, we use a new image representation algorithm called segmented orthogonal matching pursuit (SOMP) (Rabiee and Kashyap, 1998) to encode the subbands of an image. Our preliminary results show that our algorithm performs better than the segmentation based matching pursuit (QTMP) (Rabiee et al. 1996) and EZW (Shapiro 1993) encoders at lower bit rates, based on subjective image quality and peak signal-to-noise ratio (PSNR)

Keywords

data compression; image coding; image representation; image segmentation; iterative methods; SOMP; image representation algorithm; low bit-rate image compression; peak signal-to-noise ratio; scalable subband image coding; segmented orthogonal matching pursuit; subbands; subjective image quality; Atomic measurements; Bit rate; Image coding; Image quality; Image representation; Image segmentation; Matching pursuit algorithms; PSNR; Pursuit algorithms; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723615

Filename

723615