A Novel Approch for Deblurring Colored Images using Blind Deconvolution Algorithm
Sohni Singh, Manvinder Sharma, Dishant Khosla, Pankaj Palta, Anuj Gupta, Tejpal Sharma, Sumeet Goyal · 2019
In digital photography the blur which is caused by motion or camera shake is most common artifact. Due to lack of light or less shutter speed the image becomes blurry and causes significant degradation in image. The information in the image is affected by this effect. In digital imaging recovering the unbluured color image from these images is fundamental research problem. There are various types of blur like motion blur, Gaussian blur etc. Various techniques have been introduced to deblur the images, but specific method is used to deblur specific type of blurring. In this paper, approach is used to deblur the images when we do not have any information about the type of blur. The algorithm is based on blind deconvolution and is used to deblur color image. Algorithm uses damped Richardson-lucy algorithm for each iteration. The algorithm computes blurred image and restores using point spread function (PSF).