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

页码：774 / 777

页数：4

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