文章基本信息

标题：Speeding up Audio Fractal Compression
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作者：Dr. Salih M. Ali ; Dr. Loay E. George ; Hazeem B. Taher 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：In this paper, a simple approach to speed up the audio fractal compression is introduced. Firstly, an improved mechanism for the traditional fractal is developed to reduce the coding time. It reduces the encoding time about 70%. Depending on dividing the hole data list to sub segments, and each segment is treated separately. The adopted Affine mapping between domain and range block is that based on scaling the zero mean values of both the range and domain sample. Also, during the domain pool search cycle a stopping criteria based on monitoring the affine approximation error is adopted to reduce the encoding time. The MSE and PSNR are used as fidelity criteria during the test phase.
关键词：Compression; Audio; Fractal; Fractal Audio Compression; Tilling.