Blind Image Deconvolution Technique for Image Restoration using Ant Colony Optimization

Image Restoration is a field of Image Processing which deals with recovering an original and sharp image from a degraded image. Blind Image Deconvolution (BID) is a restoration technique where degraded image is restored in the absence of knowledge about the source of degradation of the image. It is very crucial part of image restoration to recover image without the knowledge of the reason of its degradation. Here, an estimate is done about the unknown degradation function and using that, an estimate of the original image is produced. This paper proposes a method that deals with restoration of degraded images which have been blurred by an unknown degradation function using Ant Colony Optimization (ACO) technique for detecting the blurred edges and removing the ringing effect from the detected edges. Ant Colony Optimization is a nature inspired methodology which is based on the foraging behavior of the real ant colonies.