Triad Histogram to Enhance Chest X-Ray Image

Abstract: The objective of Digital Image processing(DIP) refers to manipulate and enhance the image quality. There are plenty of image processing applications and problems are there, namely image representation enhancement, restoration and compression etc., In this paper, only three types of histogram modification methods (i.e. HE, AHE, & CLAHE) are discussed and implemented in MATLAB. The performance of these techniques is then compared using various parameters such as Peak signal to noise ratio (PSNR), Mean squared error (MSE), Signal to noise ratio (SNR), Absolute mean brightness error (AMBE) and Entropy. The results shows that CLAHE is efficient when compared to other two methods.

Keywords: DIP, Representation, Restoration, Compression, Medical Image Enhancement, Histogram.