文章基本信息

标题：A Novel KNN Approach to Implement Inpainting and Compression/Decompression Technique and Get an Optimized Output With the Help of DCT Coefficients
本地全文：下载
作者：Biprajit Bhattacharjee ; Sanyam Anand ; Usha Mittal 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：6
期号：1
页码：57-59
语种：English
出版社：Ayushmaan Technologies
摘要：This review work has major focus on images which have cracks and minor distortions in them. This prevents any compression technique to give the best output. Hence there is a need to first remove those distortions from the images before applying compression. A system is proposed, in which K-Nearest Neighbor Algorithm is implemented after the DCT Step, to remove the distortions before compressing it. The neighboring color of the distorted part can be used to merge with the damaged part. So basically, we have to store less color intensities to save the same image without the distorted part which will result in more optimized compression ratio. It will be greatly valuable for viewer perspective.
关键词：Compression;Inpainting;DCT;KNN