联合自适应梯度稀疏和通道相关性的简单透镜成像去模糊

doi:10.11896/j.issn.1002-137X.2018.08.001

计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 1-6.doi: 10.11896/j.issn.1002-137X.2018.08.001

• 2017 中国多媒体大会 • 下一篇

联合自适应梯度稀疏和通道相关性的简单透镜成像去模糊

王新灵, 付莹, 黄华

北京理工大学计算机学院北京100081

收稿日期:2017-10-25 出版日期:2018-08-29 发布日期:2018-08-29
作者简介:王新灵(1992-),女,硕士生,主要研究方向为图像去模糊,E-mail:18253162834@163.com; 付莹女,博士,教授,博士生导师,主要研究方向为计算摄像学、计算机视觉和计算机图形学; 黄华(1975-),男,博士,教授,博士生导师,CCF高级会员,主要研究方向为图像、视频结构的表达与应用,E-mail:huahuang@bit.edu.cn(通信作者)。
基金资助:
本文受国家重点研发计划项目资助。

Deblurring for Imaging through Simple LensCombining Adaptive Gradient Sparsity and Interchannel Correlation

WANG, Xin-ling FU, Ying HUANG Hua

School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China

Received:2017-10-25 Online:2018-08-29 Published:2018-08-29

摘要/Abstract

摘要： 成像过程中的光学像差,使得简单透镜成像系统只能获得低质量的模糊图像。针对这类模糊问题,提出一种联合自适应梯度稀疏和通道间相关性的去模糊算法。该算法对模糊图像3个颜色通道的平滑区域点和边缘点采用不同的稀疏约束,同时利用3个通道间的相关性,借助某个通道保留的边缘信息来复原其他通道的边缘信息。仿真实验结果表明,该方法对简单透镜获得的模糊图像复原质量较高,能取得较好的视觉效果。

关键词: 非盲反卷积, 光学像差, 通道相关性, 自适应梯度稀疏

Abstract: Due to optical aberrations in imaging optics,the image taken from simple lensessuffers from severe artifacts and blurring.Aiming at this kind of blurring problem,this paper proposed a deblurring method combining adaptive gradient sparsity and interchannel correlation.This method restores every color channel of the blurred images separately through imposing different sparse priors on points in smooth areas and at edges and using interchannel correlation constraint,which uses edge information preserved in some channel to restore another channel.The simulation experiment results show that the proposed method can achieve better restoration in respect of image resolution and visual effect for blurred images through simple lens.

Key words: Adaptive gradient sparsity, Interchannel correlation, Non-blind deconvolution, Optical aberrations

中图分类号:

TP391.41

王新灵, 付莹, 黄华. 联合自适应梯度稀疏和通道相关性的简单透镜成像去模糊[J]. 计算机科学, 2018, 45(8): 1-6. https://doi.org/10.11896/j.issn.1002-137X.2018.08.001

WANG, Xin-ling FU, Ying HUANG Hua. Deblurring for Imaging through Simple LensCombining Adaptive Gradient Sparsity and Interchannel Correlation[J]. Computer Science, 2018, 45(8): 1-6. https://doi.org/10.11896/j.issn.1002-137X.2018.08.001

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联合自适应梯度稀疏和通道相关性的简单透镜成像去模糊

Deblurring for Imaging through Simple LensCombining Adaptive Gradient Sparsity and Interchannel Correlation

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