黑龙江科技大学学报2017，Vol.27Issue(2)：196-199,4.DOI:10.3969/j.issn.2095-7262.2017.02.021
快速非均匀模糊图像的盲复原模型
Fast blind deblurring models for restoration of non-uniform blur images
程俊廷 1左旺孟2
作者信息
- 1. 黑龙江科技大学机械工程学院,哈尔滨150022
- 2. 哈尔滨工业大学计算机科学与技术学院,哈尔滨150001
- 折叠
摘要
Abstract
This paper follows from the need for addressing the problems with the existing non-uniform image deblurring methods in terms of restoration quality,computational and memory complexity,and automatic parameter selection.The study provides a novel model for improving the restoration quality and reducing computational and memory complexity;enhancing the computational efficiency for non-uniform blurring,using the generalized additive convolution model;and developing novel image prior models for enhancing image visual quality.The results demonstrate that the non-uniform blurred image blind restoration algorithm enables a more effective restoration of the blurred image and provides a higher restoration efficiency than the traditional algorithm.关键词
图像盲复原/去模糊/退化图像/稀疏建模Key words
image blind restoration/deblurring/degradation image/sparse modeling分类
信息技术与安全科学引用本文复制引用
程俊廷,左旺孟..快速非均匀模糊图像的盲复原模型[J].黑龙江科技大学学报,2017,27(2):196-199,4.
