A Nonblind Deconvolution Method by Bias Correction for Inaccurate Blur Kernel Estimation in Image Deblurring-Reference-Cited by-同舟云学术

A Nonblind Deconvolution Method by Bias Correction for Inaccurate Blur Kernel Estimation in Image Deblurring

Author:

Han Jie¹^ORCID,Zhang Songlin²,Ye Zhen²

Affiliation:

1. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

2. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Funder

Natural Science Foundation of Shanghai

Shanghai Municipal Science and Technology Major Project

Startup Foundation for Introducing Talent of the Nanjing University of Information Science and Technology

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference74 articles.

4. Edge-based blur kernel estimation using patch priors;sun;Proc IEEE Int Conf Comput Photography (ICCP),2013

5. Deblurring text images via L0-regularized intensity and gradient prior;pan;Proc IEEE Conf Comput Vis Pattern Recognit,2014

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