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

• Main Authors: Chun-Shih Chen, 陳君實
• Other Authors: 吳俊霖
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/36755649608777047845

碩士 === 國立中興大學 === 資訊科學與工程學系所 === 100 === 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 is unexpected ringing artifact 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.