Digital Image Restoration using Image Filtering Techniques

In modern age, image is useful media used to analyze the information within it. Sometime image which captured get blurred and noise from the environment. This phenomenon can reduce the quality of image. Image restoration technique we can restored degraded image to the nearest real image. Some filters and algorithms can be used to restoring the image, such as Weiner filter, Regularized filter, and Lucy-Richardson filter. This experiment tried to use these three techniques to restore blurry noised image using MATLAB software. Gaussian blur and noise were given to the images. Then, three methods are used to restore degraded images and compared their performance each other based on three parameters, such as Power Signal to Noise Ratio (PSNR) SSID (Structural Similarity Index), and MSE (Mean Squared Error). The experiment result shows that image restoration using Lucy-Richardson algorithm gives best performance on restoring thus degraded image in comparison of all parameter.