Two-dimensional image analysis using the wavelet transform
Charles R. Thompson, B. DeFacio · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
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.