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Efficient robust filtering technique for blocking artifacts reduction

机译:有效的鲁棒滤波技术,可减少伪影

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摘要

This paper presents a new post-processing algorithm based on a robust statistical model to remove the blocking artifacts observed in block discrete cosine transform (BDCT)-based image compression standards. The novelty is the implementation of a new robust weight function for the block artifact reduction. The blocking artifacts in an image are treated as an outlier random variable. The robust formulation aims at eliminating the artifacts outliers, while preserving the edge structures in the restored image. Extensive simulation results and comparative studies demonstrate that the presented method provides superior results in terms of pixel-wise (PSNR) and perceptual (SSIM) measures.
机译:本文提出了一种新的基于鲁棒统计模型的后处理算法,以消除在基于块离散余弦变换(BDCT)的图像压缩标准中观察到的块伪像。新颖之处在于实现了一种新的鲁棒加权函数,用于减少块伪像。图像中的块状伪像被视为异常值随机变量。健壮的公式旨在消除伪影离群值,同时保留还原图像中的边缘结构。大量的仿真结果和比较研究表明,本文提出的方法在逐像素(PSNR)和感知(SSIM)度量方面提供了优异的结果。

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