Share Email Print
cover

Proceedings Paper

A visual sensitivity based low-bit-rate image compression algorithm
Author(s): Qing Xia; Xiaoguang Li; Zhuo Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we present a visual sensitivity based low-bit-rate image compression algorithm. Using the idea that different image regions have different perceptual significance relative to quality, the input image is divided into edges, textures and smooth regions. For the edges, the standard JPEG algorithm with an appropriate quantitative step is applied so that the details can be preserved. For the textures, the JPEG algorithm is applied on the down-scale version. For the smooth regions, a skipping scheme is employed in the compression process so as to save bits. Experimental results show the superior performance of our method in terms of both compression efficiency and visual quality.

Paper Details

Date Published: 14 March 2013
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87680A (14 March 2013); doi: 10.1117/12.2010554
Show Author Affiliations
Qing Xia, Beijing Univ. of Technology (China)
Xiaoguang Li, Beijing Univ. of Technology (China)
Zhuo Li, Beijing Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top