This research reviews NPF model and its parameters and then introduces proposed algorithm for contrast enhancement of mammogram images. Investigates proposed algorithms using quantitative and qualitative assessments and finally conclusion of the work is presented. In processing mammogram images, contrast enhancement and preserving the edge are especially important because radiation lines around the lesion specify whether a tissue is cancerous or not. On the other hand, contrast enhancement should not cause the image to be saturated as some breast tissues have tiny calcifications which are not observable by saturation of the image. In this paper, using histogram equalization based on adaptive tuning of the nonlinear polynomial filter coefficients both mammogram image contrast is enhanced and radiation lines around the lesion are observed better and at the same time leads to lower image saturation.
