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Removal of Blocking Distortions using Subband Transforms in Moving Picture Coding

机译:使用运动图像编码中的子带变换消除块失真

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This study aims to remove blocking distortions in compressed moving pictures. We propose to apply sub-band transform (ST) and an edge adaptive deblocking filter to remove the blocking distortions caused by transforms and the block motion compensated prediction in moving picture coding, respectively. We evaluate coding efficiency and distortion level experimentally by PSNR value and subjectively through visual appearance. It give good PSNR values compared to the discrete cosine transform (DCT) and the discrete wavelet transform (DWT). The edge adaptive deblocking filter produced an improved quality of the decoded pictures. The ST with an edge adaptive deblocking filter is an efficient way to decode pictures and proves from the PSNR values and the quality of pictures.
机译:这项研究旨在消除压缩运动图像中的块失真。我们建议应用子带变换(ST)和边缘自适应去块滤波器,以分别消除运动图像编码中的变换和块运动补偿预测所引起的块失真。我们通过PSNR值并通过视觉外观主观地评估编码效率和失真水平。与离散余弦变换(DCT)和离散小波变换(DWT)相比,它具有良好的PSNR值。边缘自适应解块滤波器产生了改进的解码图像质量。带有边缘自适应解块滤波器的ST是解码图片的有效方法,并通过PSNR值和图片质量证明了这一点。

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