Comparative Study and Implementation of Image Processing Techniques Using MATLAB

Image enhancement aims at improving the quality of image for better visualization. This paper presents three methods of image enhancement: - GHE, LHE an d DS IHE that improve the visual quality of images. In this paper, we implement and examine the effect of above mentioned techniques based on objective and subjective image quality parameters (like PSNR, NAE, S C, AE and MOS ) to measure the quality of gray scale enhanced images. A comparati ve analysis is also being carried out. For handling gray-level images, Histogram Equalization (HE) methods (like GHE and LHE) tend to change the mean brightness of an image to middle level of the gray-level range limiting their appropriateness for contrast enhancement in consumer electronics. The DS IHE methods seem to overcome this disadvantage as they tend to preserve both, the brightness and contrast enhancement, though at the cost of naturalness of the input image.