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。
For a given monochrome digital image with low detail, an adaptive DCT data compression method is given and compared with adaptive DPCM method.
对于给定的细节较少的单色数字图象，本文给出了一种自适应的离散余弦变换(DCT)数据压缩方法。
The system uses CCD for getting digital image, uses a 16 bit fix-point DSP to perform fast discret cosine transform(DCT) arithmetic and image encoding and realizes a fast image compression in end.
系统使用CCD获取原始数字图像数据，采用快速算法实现了核心的二维DCT变换，经过编码后，在一个16位定点DSP上实现了快速图像压缩。
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