Name
Title | ||
|---|---|---|
Nonlinear camera response functions and image deblurring: theoretical analysis and practice. |
Abstract | ||
|---|---|---|
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 varying blur. We prove that such nonlinearity can cause large errors around edges when directly applying deconvolution to a motion blurred image without CRF correction. These errors are inevitable even with a known point spread function (PSF) and with state-of-the-art regularization-based deconvolution algorithms. In addition, we show how CRFs can adversely affect PSF estimation algorithms in the case of blind deconvolution. To help counter these effects, we introduce two methods to estimate the CRF directly from one or more blurred images when the PSF is known or unknown. Our experimental results on synthetic and real images validate our analysis and demonstrate the robustness and accuracy of our approaches. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TPAMI.2013.40 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
motion deblurring,known point spread function,point spread function,nonlinear camera response functions,nonlinear crf,nonlinear camera response function,real image,theoretical analysis,image restoration,motion blurred image deconvolution,spatially invariant blur,deconvolution,regularization-based deconvolution algorithms,cameras,spatially varying blur,psf estimation algorithm,crf estimation,nonlinear camera response functions (crfs),psf estimation algorithms,image deblurring,nonlinear crfs,crf correction,blind deconvolution,optical transfer function,state-of-the-art regularization-based deconvolution algorithm,image motion analysis,shape,kernel,estimation | Computer vision,Optical transfer function,Deblurring,Pattern recognition,Blind deconvolution,Computer science,Deconvolution,Artificial intelligence,Image restoration,Real image,Point spread function,CRFS | Journal |
Volume | Issue | ISSN |
35 | 10 | 1939-3539 |
Citations | PageRank | References |
23 | 0.84 | 34 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Wing Tai | 1 | 2028 | 92.75 |
| Xiaogang Chen | 2 | 184 | 25.18 |
| Sunyeong Kim | 3 | 103 | 4.53 |
| Seon Joo Kim | 4 | 455 | 31.34 |
| Feng Li | 5 | 150 | 8.97 |
| Jie Yang | 6 | 868 | 87.15 |
| Jingyi Yu | 7 | 1238 | 101.25 |
| Yasuyuki Matsushita | 8 | 2046 | 113.32 |
| Michael S. Brown | 9 | 2122 | 129.13 |