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Regularized restoration of VQ compressed images with constrained least squares approach

机译:约束最小二乘法对VQ压缩图像进行正则还原

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摘要

In this paper, an iterative algorithm is proposed to restore VQ-encoded images. This algorithm incorporates adaptivity into simple CLS restoration algorithm by weighting every pixel according to its expected derivation from the original. This algorithm is fully compatible with any VQ codec to improve codec's coding performance. Computer simulations showed that the proposed scheme was superior to other conventional schemes in terms of SNR improvement. Besides, the image quality could also be improved subjectively by reducing the blocking effect.
机译:本文提出了一种迭代算法来还原VQ编码的图像。该算法通过根据每个像素从原始像素获得的期望权重对每个像素进行加权,将自适应性纳入到简单的CLS恢复算法中。该算法与任何VQ编解码器完全兼容,以提高编解码器的编码性能。计算机仿真表明,所提出的方案在信噪比改善方面优于其他常规方案。此外,通过减少遮挡效果也可以主观地提高图像质量。

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