Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice

This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. We present a comprehensive study to analyze the effects of CRFs on motion deblurring. In particular, we show how nonlinear CRFs can cause a spatially invariant blur to behave as a spatially var...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 35; no. 10; pp. 2498 - 2512
Main Authors:	Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li, Jie Yang, Jingyi Yu, Matsushita, Y., Brown, M. S.
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01.10.2013 IEEE Computer Society
Subjects:	Algorithms Applied sciences Artificial Intelligence Cameras Computer science; control theory; systems CRF estimation Deconvolution Detection, estimation, filtering, equalization, prediction Estimation Exact sciences and technology Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image restoration Information, signal and communications theory Kernel motion deblurring Nonlinear camera response functions (CRFs) Nonlinear Dynamics Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Reproducibility of Results Sensitivity and Specificity Shape Signal and communications theory Signal, noise Telecommunications and information theory Computer vision Image processing Noise reduction Blind deconvolution Image restoration Blurred image Point spread function Noisy image Response function Image analysis Experimental result Spatial distribution Pulse response Nonlinear camera response functions (CRFs) Robustness motion deblurring Camera CRF estimation Signal to noise ratio
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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