A Novel Approach of Image Enhancement

Image enhancement is used to improve the certain features of an image. In this paper, a novel filter of image enhancement has been proposed. The proposed filter is implemented for n ×n masking operation. Authors have convoluted 3×3 , 5 ×5 and 7×7 masks with various poorly contrast images which convert them into good quality images. The performance of proposed filter is analyzed and compared with other existing filters, namely, average filter, Gaussian filter and unsharp filter. The authors evaluated the performance of these filters on the basis of four parameters – eme (quality measure of image enhancement), mse (mean square error), rmse (root mean square error) and psnr (peak-to- signal noise ratio). The Matlab 7.4 is used for implementation of proposed filter. The experimental results have carried on more than 1000 images which prove that the proposed filter enhances poor quality images very effectively.