Two-dimensional image analysis using the wavelet transform

Charles R. Thompson; Brian DeFacio

doi:10.1117/12.139007

29 December 1992 Two-dimensional image analysis using the wavelet transform

Charles R. Thompson, Brian DeFacio

Proceedings Volume 1767, Inverse Problems in Scattering and Imaging; (1992) https://doi.org/10.1117/12.139007
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

The wavelet transform is used to give a phase-space approach to the study of two-dimensional images. The compression of the Daubechies - 4 (D4) wavelet is studied and a new hybrid wavelet-linear interpolation method is shown to enhance the compression of reconstructions. Computer generated white noise is added and two methods of image enhancement, which are based on the discrete wavelet transform, are used to improve resolution and sensitivity of the noisy images. The frequency scales in phase-space dominate both the 'contrast' and the edge detection behaviors of the images.

Citation Download Citation

Charles R. Thompson and Brian DeFacio "Two-dimensional image analysis using the wavelet transform", Proc. SPIE 1767, Inverse Problems in Scattering and Imaging, (29 December 1992); https://doi.org/10.1117/12.139007

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