Image compression using the 2-D wavelet transform

Authors:
A. S. Lewis;G. Knowles
Affiliations:
Dept. of Electr. Eng., Imperial Coll., London;-
Venue:
IEEE Transactions on Image Processing
Year:
1992

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Abstract

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