Scalable subband image coding with Segmented Orthogonal Matching Pursuit

被引：0
|
作者：
Rabiee, HR [1 ]
Safavian, SR [1 ]
Kashyap, RL [1 ]
Saeed, M [1 ]
机构：
[1] Intel Corp, Media & Interconnect Technol Lab, Hillsboro, OR 97124 USA
来源：
1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1 | 1998年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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) [7] to encode the subbands of an image. Our preliminary results show that our algorithm performs better than the segmentation based matching pursuit (QTMP) [5] and EZW [8] encoders at lower bit rates, based on subjective image quality and peak signal-to-noise ratio (PSNR).
引用
收藏
页码：774 / 777
页数：4
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