裁剪视频的一种新的去块方法

Kenta Hashimoto, S. Gohshi
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引用次数: 1

摘要

由于数据量大,视频在传输和存储前都要进行编码(减少数据量)。然而,编码视频有降级。其中一种被称为“块噪声”,它在图像上出现块形状退化。块噪声通常可以通过减少块边界的去块滤波器来降低。然而,传统的去块滤波器存在一个问题,即它不能应用于带有块噪声的裁剪视频。虽然去块滤波器减少了块噪声,但它也会导致视频中的边缘模糊。在本文中,我们提出了一种新的去块方法,可以通过保留边缘来降低裁剪视频的块噪点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Deblocking Method for Cropped Video
Due to a large amount of data, videos are encoded (data volume reduction) before transmission and storage. However, coded videos have degradations. One of them is called ‘block noise’ that appears block shape degradation on the image. Block noise can be usually reduced by a deblocking filter that reduces the block boundaries. However, the conventional deblocking filter has an issue that it cannot be applied to cropped video with the block noise. Although the deblocking filter reduces the block noise, it also causes blur on the edges in the video. In this paper, we propose a novel deblocking method that can reduce block noise for cropped videos by keeping the edges.
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