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  • 标题:Interframe Compression on Sequential Image using Wavelet
  • 本地全文:下载
  • 作者:Dr. Albertus Joko Santoso ; Dr. Lukito Edi Nugroho ; Dr. Gede Bayu Suparta
  • 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:1
  • 页码:421-426
  • 语种:English
  • 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 originalmeanings and purposes. On the other hand, the redundancy partis where the data can be reduced, compressed or eliminated. Thedevelopment of Internet and multimedia technologies that growexponentially, resulting in the amount of information managedby computer is necessary. This causes serious problems in storageand transmission image data. Therefore, should be considered away to compress data so that the storage capacity required will besmaller. This research uses two different changes between framesin sequential images, they are moving two objects, and moving thecamera, Then each sequential image is tested by using 17 functionwavelets towards its PSNR and compression ratio (%). Waveletwhich has the highest compression ratio in each family is Haar,Coiflet 1, and Symlet 2. While the wavelet which has the highestPSNR in each family is Haar, Coiflet 3, and Symlet 5.
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