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Self-similarity of the multiresolutional image/video decomposition: smart expansion as compression of still and moving pictures

机译:多分辨率图像/视频分解的自相似性:智能扩展,可压缩静态和动态图像

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The paper introduces a new combined fractal/multiresolutional image compression based on the observed property of self-similarity of the pyramidal image transform. The gist of the method is zooming out from a (possibly shrunken) low-resolution image producing a sharp and crisp "natural looking" high-resolution view, without blockiness and jaggedness. It is demonstrated that the technique possesses features of preserving thinness of lines on expansion, translational invariance and providing a perfect high-resolution representation of the gradient fill. The multiresolutional transform algorithms and 'smart' image magnification developed for still images have been generalized to deal with moving pictures as a three-dimensional, spatio-temporal frame sequence, which permits rapid compression, smooth motion interpolation, and has potential for use in video transmission in real time.
机译:本文基于观察到的金字塔图像变换的自相似性,介绍了一种新的分形/多分辨率组合图像压缩方法。该方法的要点是缩小(可能缩小的)低分辨率图像,以产生清晰,清晰的“自然”的高分辨率视图,而不会出现块状和锯齿状。证明了该技术具有在扩展时保持线的细度,平移不变性以及提供梯度填充的完美高分辨率表示的特征。已针对静止图像开发了多分辨率变换算法和“智能”图像放大倍率,以将运动图像作为三维时空帧序列进行处理,从而可以进行快速压缩,平滑运动插值,并具有在视频中使用的潜力。实时传输。

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