Image compression based on spatial redundancy removal and image inpainting

作     者：Vahid BASTANI Mohammad Sadegh HELFROUSH Keyvan KASIRI 

作者机构：Department of Electrical and Electronic EngineeringShiraz University of Technology 

出 版 物：《Journal of Zhejiang University-Science C(Computers and Electronics)》 (浙江大学学报C辑（计算机与电子（英文版）)

年 卷 期：2010年第11卷第2期

页      面：92-100页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：图像压缩 计算方法 图像修复技术 压缩比 

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.