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Image coding by block prediction of multiresolution subimages

机译:通过多分辨率子图像的块预测进行图像编码

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The redundancy of the multiresolution representation has been clearly demonstrated in the case of fractal images, but it has not been fully recognized and exploited for general images. Fractal block coders have exploited the self-similarity among blocks in images. We devise an image coder in which the causal similarity among blocks of different subbands in a multiresolution decomposition of the image is exploited. In a pyramid subband decomposition, the image is decomposed into a set of subbands that are localized in scale, orientation, and space. The proposed coding scheme consists of predicting blocks in one subimage from blocks in lower resolution subbands with the same orientation. Although our prediction maps are of the same kind of those used in fractal block coders, which are based on an iterative mapping scheme, our coding technique does not impose any contractivity constraint on the block maps. This makes the decoding procedure very simple and allows a direct evaluation of the mean squared error (MSE) between the original and the reconstructed image at coding time. More importantly, we show that the subband pyramid acts as an automatic block classifier, thus making the block search simpler and the block matching more effective. These advantages are confirmed by the experimental results, which show that the performance of our scheme is superior for both visual quality and MSE to that obtainable with standard fractal block coders and also to that of other popular image coders such as JPEG.
机译:在分形图像的情况下,多分辨率表示的冗余已经得到了清晰的证明,但是对于普通图像却没有得到充分的认识和利用。分形块编码器已经利用了图像中各个块之间的自相似性。我们设计了一种图像编码器,其中利用了图像多分辨率分解中不同子带块之间的因果相似性。在金字塔子带分解中,图像被分解为一组在比例,方向和空间上局部分布的子带。所提出的编码方案包括从具有相同方向的较低分辨率子带中的块中预测一个子图像中的块。尽管我们的预测图与基于迭代映射方案的分形块编码器中使用的预测图相同,但我们的编码技术并未对块图施加任何可收缩性约束。这使得解码过程非常简单,并允许在编码时直接评估原始图像和重建图像之间的均方误差(MSE)。更重要的是,我们证明了子带金字塔可作为自动块分类器,从而使块搜索更加简单,并且块匹配更加有效。实验结果证实了这些优势,表明我们的方案在视觉质量和MSE方面均优于标准分形分块编码器以及其他流行的图像编码器(如JPEG)。

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