Quality improvement ameliorates the visibility of entity in the picture by increasing the luminance disparity between the substance and their scene. Based on principal intensity rank examination and alterable intensity transfiguration of pictures my work presents a new clarity improvement scheme. In this work, glow alterable amplitude shift expressions estimated in the little occurrence lightness component using wavelet domain and mutates strength standards according to the shifting expression. Discrete wavelet transform (DWT) is applied in fabric images. Low-low sub band of the fabric image is splitted into low, middle, and high intensity layers with the support of log average lightness approach. Using the knee parameters and the gamma parameters intensity conversion values are evaluated based on our need. This estimation is based on the supreme luminance point of each and every layer. After the intensity transfiguration, we obtained the resulting superior image using Inverse Discrete Wavelet Transform. The outcome show that the proposed work boosts the whole quality of the image and perceptibility of general facts better than presented methods.