Image Deblurring Algorithm using Accelerated Gradient Method

Blur is a common and unwanted artifact of image acquisition. The most common reason of blurry images is camera shake. The camera movement may be very little, but still causes blurry images. Most recent approaches attempt to removal of images blur happened due to camera shake. There are many reasons why images become blurred such as, slow shutter speed or incorrect focal distance. Because blurry images are confusing, they are often less appealing and so it is desirable to deblurr images for purely aesthetic reasons. Outside of photography, variable blurring creates problems for feature tracking algorithms which rely on the existence of consistent image structures. Blur removal may be used to precondition these algorithms and greatly improve performance. Recently, the field of blur removal has gained increasing interest in a lot of researches. The problem is known as blind convolution if the only available information is the blurred image. In image deblurring using Accelerated gradient descent algorithm we introduced a comprehensive study on the image deblurring, type of blur, noise model and finally a comprehensive study.