Image enhancement using fuzzy c-means clustering based on local population balance modeling

In this paper, a novel approach is presented for image enhancement. Conventional image enhancement methods suffer from blurring effects while they obtain good level of peak signal to noise ratio (PSNR). We propose a new algorithm based on population balance modeling concertedly fuzzy c-means clustering aiming to image enhancement while keeping the image sharpness at a good level. To test the developed algorithm well-known four images have been used. According to results, the proposed algorithm supplies fair enough level of PSNR in addition to stop losing the sharpness level of the test images.