Predictive fractal image coding: hybrid algorithms and compression of residuals

Thomas Freina, A. Uhl
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引用次数: 3

Abstract

Summary form only given. The authors introduce hybrid algorithms which consist of a fractal predictor in the spatial domain with subsequent coding of the residual image (error-image between the fractal prediction and the image to compress). For coding the residual either wavelet (based on the SPIHT coder) or DCT based coding (as used in interframe compression, e.g. for B or P frames in H.261, MPEG-1,2) is employed. Additionally they contribute to the discussion about the performance of wavelet and DCT based algorithms for the compression of motion compensated error frames in interframe video coding algorithms since the residual images considered in the proposed hybrid algorithms exhibit similar (or even identical) statistical properties as motion compensated error frames.
预测分形图像编码:混合算法和残差压缩
只提供摘要形式。作者介绍了一种混合算法,该算法由空间域的分形预测器和随后编码的残差图像(分形预测与待压缩图像之间的误差图像)组成。对于残差的编码,小波(基于SPIHT编码器)或基于DCT的编码(用于帧间压缩,例如,对于H.261中的B或P帧,mpeg -1,2)被采用。此外,它们还有助于讨论基于小波和DCT的算法在帧间视频编码算法中压缩运动补偿错误帧的性能,因为所提出的混合算法中考虑的残差图像表现出与运动补偿错误帧相似(甚至相同)的统计特性。
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