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Acceleration of fractal video compression using FFT

机译:使用FFT加速分形视频压缩

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Fractal based video compression promises to be an attractive technique due to its resolution independence and high compression property. The fractal video coding takes an advantage of self similarity within a frame and also between the successive frames in a video for compression. A new full search motion estimation algorithm is presented in this paper that uses FFT based circular cross-correlation as a full search block matching criteria. The processing speed of proposed block matching algorithm is higher in comparison with conventional full search block matching algorithm. This is done due to the elimination of repeated search in fractal encoding process for the best matching block in a large domain pool. Experimental results show that the proposed algorithm achieves higher processing speed as compared to conventional full search fractal encoder with equivalent quality of decompressed video for the same level of compression ratio.
机译:基于分形的视频压缩由于其分辨率独立性和高压缩特性而有望成为一种有吸引力的技术。分形视频编码利用帧内以及视频中连续帧之间的自相似性优势进行压缩。本文提出了一种新的全搜索运动估计算法,该算法使用基于FFT的循环互相关作为全搜索块匹配标准。与常规的全搜索块匹配算法相比,所提出的块匹配算法的处理速度更高。这样做是由于消除了在分形编码过程中针对大型域池中的最佳匹配块进行的重复搜索。实验结果表明,与传统的全搜索分形编码器相比,在相同压缩率水平下,该算法具有更高的处理速度。

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