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。
At low bit rates, the block Discrete Cosine Transform (BDCT) compression methods often give rise to blocking artifacts.
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。
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.
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.
该文根据离散余弦变换(DCT)和量化运算的特点，提出了一种新的用于低比特率视频编码的全零块预先判别方法。
A new method for predetermination of all-zero blocks in low rate video coding is proposed, which is based on characters of discrete cosine transform (DCT) and quantization.
提出一种构造择优量化表的新方法。在一个固定块尺寸的离散余弦变换（DCT）中，该方法可产生优化的率失真特性。
The present paper presents a new method for constructing optimal quantisation tables. The method produces optimal rate-distortion performance in a fixed block size DCT.
本文首次在水印算法中采用了LOT以代替传统的离散余弦变换(DCT)，从而有效地避免了DCT的块效应。
LOT is first adopted in the watermarking algorithm instead of DCT, which greatly reduces the blocking effects.
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。
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。
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.
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