Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. Histogram equalization automatically determines a transformation function that seeks to produce output images that has a uniform histogram. When automatic enhancement is desired that is good approach because result from this technique are predictable and method is simple to implement. Method used to generate a processed image that has a specified histogram is called histogram matching or histogram specification. In this thesis we applied advance algorithm to enhance the quality of an image and we succeeded and also got the entropy value of image by changing the scaling factor K we got different value and also got different shifted histogram image. In our research work we worked on different level to analyze the effect of algorithm. By changing scaling factor we get different EME and image enhanced significantly from which lot of important information can be recovered.