Image Enhancement is a technique which is widely used in the field of Image Processing and Pattern Recognition. Image Enhancement is the processing of an image to enhance certain feature of an image in order to obtain a clearer image. The image details can be more clearly visible when the noise and other artifacts from the image are minimized. In the presence of noise in the original image, image processors are faced with a variety of obstacles. They must address these issues while keeping the image quality while simultaneously improving its contrast and noise. In this paper, we addressed various contrast enhancement models that involves histogram equalization methods to enhance the images obtained from lossless compression scheme. The proposed analysis method is tested on various test images to show the effectiveness of each method on various imaging techniques. The results of simulation shows that the proposed analysis offers better perception for the researchers to choose what type of enhancement fits the image enhancement process.