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 reduced number of DCT coefficients is computed in a subsequent inverse DCT computation based on the DCT block type.
而根据此离散馀弦转换区块形式则在后续的反向离散馀弦转换运算中运用较少个数之离散馀弦转换系数来做计算。
In this paper, a block based adaptive watermarking technique in DCT domain that is similar to the public key system is proposed in light of the cryptography technique and image processing technique.
结合加密技术与图像处理算法，提出了一种类似于公开密钥体制的基于分块dct变换的数字图像自适应水印算法。
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