Image compression based on spatial redundancy removal and image inpainting

被引：0

作者：

Vahid BASTANI ^{[1
]}

Mohammad Sadegh HELFROUSH ^{[1
]}

Keyvan KASIRI ^{[1
]}

机构：

[1] Department of Electrical and Electronic Engineering,Shiraz University of Technology

来源：

Frontiers of Information Technology & Electronic Engineering | 2010年 / 02期

关键词：

Edge extraction; Image compression; Image inpainting; Spatial redundancy;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

We present an algorithm for image compression based on an image inpainting method. First the image regions that can be accurately recovered are located. Then,to reduce the data,information of such regions is removed. The remaining data besides essential details for recovering the removed regions are encoded to produce output data. At the decoder,an inpainting method is applied to retrieve removed regions using information extracted at the encoder. The image inpainting technique utilizes partial differential equations (PDEs) for recovering information. It is designed to achieve high performance in terms of image compression criteria. This algorithm was examined for various images. A high compression ratio of 1:40 was achieved at an acceptable quality. Experimental results showed attainable visible quality improvement at a high compression ratio compared with JPEG.

引用

页码：92 / 100

页数：9