Image compression using the 2-D wavelet transform
Image compression using the 2-D wavelet transform
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DOI：
10.1109/83.136601
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发表时间：
1992-04-01
影响因子：
10.6
通讯作者：
Knowles, G.
中科院分区：
文献类型：
--
作者：
Lewis, A. S.;Knowles, G.
二维正交小波变换将图像分解为空间局部系数和频谱局部系数。变换后的系数根据人眼视觉系统（HVS）的局部估计噪声灵敏度进行分层编码和单独量化。该算法可以很容易地映射到VLSI上。对于美国小姐和莉娜的单色图像，该技术在压缩比分别为0.3-0.2和0.64-0.43比特每像素（bpp）时给出了高可接受质量的重建。
The 2-D orthogonal wavelet transform decomposes images into both spatial and spectrally local coefficients. The transformed coefficients were coded hierarchically and individually quantized in accordance with the local estimated noise sensitivity of the human visual system (HVS). The algorithm can be mapped easily onto VLSI. For the Miss America and Lena monochrome images, the technique gave high to acceptable quality reconstruction at compression ratios of 0.3-0.2 and 0.64-0.43 bits per pixel (bpp), respectively.