Image compression using the 2-D wavelet transform

Author

Lewis, A.S. ; Knowles, G.

Author_Institution

Dept. of Electr. Eng., Imperial Coll., London, UK

Volume

1

Issue

2

fYear

1992

fDate

4/1/1992 12:00:00 AM

Firstpage

244

Lastpage

250

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

Keywords

encoding; picture processing; transforms; 2-D orthogonal wavelet transform; Image compression using the 2-D wavelet transform; Lena; Miss America; VLSI; algorithm; compression ratios; encoding; human visual system; image compression; image decomposition; image reconstruction quality; local estimated noise sensitivity; monochrome images; spatial local coefficients; spectrally local coefficients; transformed coefficients; Convergence; Discrete transforms; Equations; Frequency; Image analysis; Image coding; Lattices; Neural networks; Recursive estimation; Wavelet transforms;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.136601

Filename

136601