Removing Camera Shake via Weighted Fourier Burst Accumulation

Abstract

Camera shaking is one of the problem which leads to blur images and ruin many photographs. This causes object present in the image unclear. The deblurring methods the Convolution of a sharp image with a uniform blur kernel, Conventional blind deconvolution are used to give a better visualization of the image. It typically assumes frequency-domain constraints on image for motion path during shaking. These camera motions follow the given path and try to gives a clear visual. There is no such system which uniformly or equally removes the blurness. So this paper introduces the idea of weighted fourier burst accumulation method for resolving camera shake problem. The proposed algorithm performs a weighted average in fourier domain. The weights are based on the fourier spectrum magnitude.