A NOVEL TECHNIQUES OF IMAGE RESTORATION
M.Tech Student, Computer Engineering, C. U. Shah College of Engineering and Technology, India
ABSTRACT
Image restoration is the process of reconstruction or recovering an image that has been corrupted by some degradation phenomenon. Degradation may occur due to motion blur, Gaussian blur, noise and camera mismatch. In order to improve the quality of the image so that the required objects can be easily accessible from the sensed images, the image restoration technique is used in the image processing. It improves the objectivity of the image and removes the noise and blurry content in the image. In this paper corrupted image have been recovered using Modified Lucy Richardson algorithm in the presence of Gaussian, Speckle and salt & paper noise with motion blur. The performance of this algorithm has been compared with Wiener filter, Regulized Filter, Lucy-Richardson Algorithm. The performance comparison done on the based on Mean Square Error (MSE), peak signal-to-noise ratio (PSNR), Structural Similarity (SSIM).The result shows that Modified Lucy Richardson method is better than Wiener filter, Regulized Filter, Lucy-Richardson Algorithm
