文章基本信息

标题：Interframe Compression on Sequential Image using Wavelet
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作者：Dr. Albertus Joko Santoso ; Dr. Lukito Edi Nugroho ; Dr. Gede Bayu Suparta 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：2012
卷号：3
期号：1Ver 3
出版社：Ayushmaan Technologies
摘要：Image data are a combination of information and redundancy. Therefore the information part is kept because it contains the original meanings and purposes. On the other hand, the redundancy part is where the data can be reduced, compressed or eliminated. The development of Internet and multimedia technologies that grow exponentially, resulting in the amount of information managed by computer is necessary. This causes serious problems in storage and transmission image data. Therefore, should be considered a way to compress data so that the storage capacity required will be smaller. This research uses two different changes between frames in sequential images, they are moving two objects, and moving the camera, Then each sequential image is tested by using 17 function wavelets towards its PSNR and compression ratio (%). Wavelet which has the highest compression ratio in each family is Haar, Coiflet 1, and Symlet 2. While the wavelet which has the highest PSNR in each family is Haar, Coiflet 3, and Symlet
关键词：Compression Ratio; PSNR; Interframe Compression; Sequential;Image; Wavelet