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An Adaptive Richardson-Lucy Algorithm for Single Image Deblurring Using Local Extrema Filtering

Motion Blur is one of the common artifacts in digital photographing. With the population of handheld camera and smart phone, image deblurring becomes an important problem. RichardsonLucy algorithm is well-known deconvolution algorithm. But the ringing artifacts usually appear while the estimated point spread function is not accurate. In this paper, we proposed an improved Richardson-Lucy deconvolution algorithm. Before deconvolution step, we separate the blurred image into smooth part and edge part which is called the edge map. The blurred image and edge map are then used for image deblurring. By using the proposed edge map, the ringing artifacts in the deblurred image are significantly reduced while preserving the sharp edge information.