An improved Richardson-Lucy algorithm for single image deblurring using local extrema filtering
Jiunn‐Lin Wu, Chia-Feng Chang, Chun-Shih Chen · 2012
With the popularity of digital camera, digital image processing is getting more important. One of the most common problems in digital photographing is motion blur. The research in solving the problem of motion blur efficiently is called motion deblur. When taking a photograph, the shaking of camera is the reason causing blurred image. The blur process can be formulated as the image takes convolution operation with the shaking path, which is also known as point spread function. One of the well-known deconvolution algorithms in solving the convolution problem is Richardson-Lucy algorithm. Although Richardson-Lucy can recover the image from blurred image, there are unexpected ringing artifacts in the deblurred image. To solve ringing is the main purpose in recent researches. In our research, by pre-detecting the region and intensity of ringing in the image, we propose an improved Richardson-Lucy algorithm to deblur image and suppress the ringing.