Image enhancement techniques are used to improve the characteristics and quality of an image, such that the resulting image is better than the original image, Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of images. Contrast Limited Adaptive Histogram Equalization (CLARE) technique is applied for images in this project study in order to enhance the limitation of images by transforming the number of tiles in image. The Median Filter is applied for removing the background noise. MA TLAB has been used to implement the Image enhancement techniques on grey level images. The measurements of the enhanced images are implanted by two image quality metrics, Peak-signal-to-noise-ratios (PSNR) and the structural similarity (SSIM). Analysis is done via comparison of results of PSNR and SSIM to obtain the highest values, the better quality of the enhanced, or reconstructed image. PSNR and SSIM of Contrast Limited Adaptive Histogram Equalization (CLARE) is
higher than Histogram Equalization. Therefore, The Contrast Limited Adaptive Histogram Equalization (CLARE) technique is more sophisticated than Histogram Equalization technique. The Histogram Equalization method has been implemented on TMS320C6713T DSP for real time applications.
