A mesh node motion estimation method based on feature window matching was presented to overcome block artifacts produced by block matching.
采用了基于特征窗口匹配的网格节点运动估计方法，有效地避免了块匹配法产生的块效应。
The block-Based Discrete Cosine Transform (BDCT) suffers from visible blocking artifacts between adjacent image blocks at low bit rates, which reduces the image visual quality.
块离散余弦变换在低比特率时其恢复图像的块边界上会出现明显可见的方块效应，从而降低了图像的视觉质量。
Unfortunately, in these situations, the notorious blocking artifacts resulting from block DCT set a severe limit on the achievable bit-rate with acceptable quality.
然而，基于DCT的传统视频压缩方法由于在低比特率下出现块失真严重影响恢复视频质量。
At low bit rates, the block Discrete Cosine Transform (BDCT) compression methods often give rise to blocking artifacts.
低比特率时，基于块离散余弦变换(BDCT)的图像压缩方法常常会引起块效应。
Blocking artifacts are serious artifacts caused by block-based hybrid video coding, and significantly impair the subjective quality of the compressed video.
方块效应是基于块的混合视频编码算法产生的重要特征失真，严重影响了压缩后视频的主观质量。
The block-based DCT compression methods often cause blocking artifacts due to low bit rates. A new algorithm is proposed which combines HVS and entropy analysis.
针对离散余弦变换基于块（DCT）图像压缩的方法通常因比特率低而导致块效应，结合人类视觉系统（HVS）和局部熵分析，提出一种新的去块效应算法。
A major drawback of block discrete cosine transform (BDCT) is that the decoded images, especially at very low bit rates, exhibit highly noticeable blocking artifacts near the block boundaries.
为了减少低比特率时块离散余弦变换(BDCT)在块边界所出现的明显可见的方块效应，提出了一种新的DCT域的去块效应消除算法。
A major drawback of block discrete cosine transform (BDCT) is that the decoded images, especially at very low bit rates, exhibit highly noticeable blocking artifacts near the block boundaries.
为了减少低比特率时块离散余弦变换(BDCT)在块边界所出现的明显可见的方块效应，提出了一种新的DCT域的去块效应消除算法。
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