Image Enhancement Using Splitting -Rooting Method in Wavelet Domain

This paper will present an enhancement technique based upon splitting -rooting method in wavelet domain. Wavelets transform concentrate most of the energy in the approximation coefficient. In splitting signal, a twodimensional image is represented uniquely by a set of onedimensional signal, which carries the spectral information of the image at frequency points of specific sets. Using splitting -rooting method in the approximation coefficient of wavelet transform, the image enhancement procedure can be reduced to processing splitting signals and the process requires only a few spectral components of the image. A measure of enhancement based on contrast measure with respect to transform will be used as a tool for evaluating the performance of the proposed enhancement technique and for finding optimal values for variables contained in the enhancement. The algorithm’s performance will be compared quantitatively to classical histogram equalization and splitting -rooting method using the aforementioned measure of enhancement.