基于子波变换的数字图像压缩算法

提出了两种以离散子波变换为基础的数字图像压缩算法，其一，原始图像在子抽样后，通过一次正交子波变换，分解成一幅低频子带图像和３个不同方向的高频子带图像。对变换后的各子带进行统计特性分析，并结合人类视觉机理采取了不同的压缩编码策略。在解码端通过子波逆变换及双线性内插算法，原始图像可被较好恢复。

A Study on an Efficient Compression Algorithm for Digital Images

Presents two discre tewavelet transform based methods for coding digital image. In the first, an original image is divided into one lowpass or blurred subimage and three highpass or detai directional subimages by discrete orthogonal wavelet transform after subsampling. The compression strategies used for the subimages is put forward to analyse the statistical performance of every subimage considering the human visual system. A better reconstructed image is attained by inverse wavelet transform and bilinear interpolation. In the second, the image is divided into one low resolution lowpass subimage and several highpass subimages having different resolution.By pro gressive transmission of the decomposed images, reconstructed high resolution image can be obtained.Simulation results are given.