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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/视频分解的自我相似性:智能扩展为静止和移动图片的压缩

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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:本文介绍了基于金字塔形图像变换的自相似性的观察性的新组合分形/多分辨率图像压缩。该方法的主旨从(可能缩小)的低分辨率图像上缩小,产生尖锐而清晰的“自然看”高分辨率视图,而不会堵塞和锯齿。证明该技术具有在扩展,平移不变性和提供梯度填充的完美高分辨率表示上保持线的薄度的特征。为静止图像开发的多分辨率变换算法和“智能”图像倍率已经推广,以处理作为三维时空帧序列的运动图像,这允许快速压缩,平滑的运动插值,并且具有视频中使用的可能性实时传输。

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