Filter Design and Applications in Image Improvement

Abstract

This work presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by which an image suffering from degradation can be recovered to its original form. Removing the noise from the image is the scope of this work. The work implemented different techniques of image enhancement and noise removal. The degraded images have been restored by the use of different mathematical filters. A new approach using MATLAB software was designed to improve the image and suppress the noise. The code was executed to eliminate the image degradation and avoid the loss of information. The use of the code enables easy extraction of data from the images.