Disparity-based space-variant image deblurring
作者:
Highlights:
• We propose a disparity-based method of space-variant image deblurring.
• We employ disparity information in image segmentation, and estimate regional PSFs.
• The segmentation method firstly over-segments a blurred image based on color.
• Then, it merges adjacent regions with similar disparities.
• The experimental results show the effectiveness of the proposed method.
摘要
Highlights•We propose a disparity-based method of space-variant image deblurring.•We employ disparity information in image segmentation, and estimate regional PSFs.•The segmentation method firstly over-segments a blurred image based on color.•Then, it merges adjacent regions with similar disparities.•The experimental results show the effectiveness of the proposed method.
论文关键词:Image deblurring,Space-variant deblurring,Disparity,Segmentation,Point spread function,Deconvolution
论文评审过程:Received 3 August 2012, Revised 30 March 2013, Accepted 20 April 2013, Available online 30 April 2013.
论文官网地址:https://doi.org/10.1016/j.image.2013.04.005