Denoising, deblurring, and superresoluton in mobile phones

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7873, Issue , 2011, Pages

  Šroubek, Filip ^a   Kamenický, Jan ^a   Flusser, Jan ^a  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

Blind deconvolution; Denoising; Superresolution

Indexed keywords

BLIND DECONVOLUTION; DE-NOISING; DEBLURRING; ENERGY MINIMIZATION PROBLEM; FAST ALGORITHMS; HIGH RESOLUTION IMAGE; ILL POSED PROBLEM; IMAGE RESTORATION; INPUT SET; NOVEL ALGORITHM; RESOLUTION ENHANCEMENT; SINGLE INPUT; SUPERRESOLUTION; WEB CAMERA;

ALGORITHMS; BUDGET CONTROL; CAMERAS; CONVOLUTION; DECONVOLUTION; IMAGE RECONSTRUCTION; MOBILE DEVICES; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS; NOISE POLLUTION CONTROL; OPTICAL RESOLVING POWER; TELEPHONE; TELEPHONE SETS;

CELLULAR TELEPHONE SYSTEMS;

EID: 79953021376     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.872577     Document Type: Conference Paper

References (20)

1. Sorel, M. and Flusser, J., "Space-variant restoration of images degraded by camera motion blur," IEEE Transactions on Image Processing 17, 105-116 (Feb. 2008). (Pubitemid 351279239)
2. Milanfar, P., ed., [Super-resolution Imaging], CRC Press (2010).
3. Šroubek, F., Cristóbal, G., and Flusser, J., "A unified approach to superresolution and multichannel blind deconvolution," IEEE Trans. Image Processing 16, 2322-2332 (Sept. 2007).
4. Zitová, B. and Flusser, J., "Image registration methods: A survey," Image and Vision Computing 21, 977-1000 (2003).
5. Molina, R., Mateos, J., and Katsaggelos, A. K., "Blind deconvolution using a variational approach to parameter, image, and blur estimation," IEEE Transactions on Image Processing 15, 3715-3727 (Dec. 2006). (Pubitemid 44811684)
6. Campisi, P. and Egiazarian, K., eds., [Blind Image Deconvolution, Theory and Application], CRC Press (2007).
7. Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T., and Freeman, W. T., "Removing camera shake from a single photograph," in [SIGGRAPH '06: ACM SIGGRAPH 2006 Papers], 787-794, ACM, New York, NY, USA (2006). (Pubitemid 44481040)
8. Shan, Q., Jia, J., and Agarwala, A., "High-quality motion deblurring from a single image," in [SIGGRAPH '08: ACM SIGGRAPH 2008 papers], 1-10, ACM, New York, NY, USA (2008).
9. Levin, A., Weiss, Y., Durand, F., and Freeman, W., "Understanding and evaluating blind deconvolution algorithms," in [Proc. IEEE Conference on Computer Vision and Pattern Recognition CVPR '09], (2009).
10. Xu, L. and Jia, J., "Two-phase kernel estimation for robust motion deblurring," in [Proceedings of the 11th European conference on Computer vision: Part I], ECCV'10, 157-170, Springer-Verlag, Berlin, Heidelberg (2010).
11. Harikumar, G. and Bresler, Y., "Perfect blind restoration of images blurred by multiple filters: Theory and efficient algorithms," IEEE Trans. Image Processing 8, 202-219 (Feb. 1999).
12. Giannakis, G. and Heath, R., "Blind identification of multichannel FIR blurs and perfect image restoration," IEEE Trans. Image Processing 9, 1877-1896 (Nov. 2000). (Pubitemid 32067889)
13. Pai, H.-T. and Bovik, A., "On eigenstructure-based direct multichannel blind image restoration," IEEE Trans. Image Processing 10, 1434-1446 (Oct. 2001). (Pubitemid 32981818)
14. Panci, G., Campisi, P., Colonnese, S., and Scarano, G., "Multichannel blind image deconvolution using the bussgang algorithm: Spatial and multiresolution approaches," IEEE Trans. Image Processing 12, 1324-1337 (Nov. 2003).
15. Šroubek, F. and Flusser, J., "Multichannel blind deconvolution of spatially misaligned images," IEEE Trans. Image Processing 14, 874-883 (July 2005). (Pubitemid 40889982)
16. Yang, J., Yin, W., Zhang, Y., and Wang, Y., "A fast algorithm for edge-preserving variational multichannel image restoration," SIAM J. Img. Sci. 2, 569-592 (May 2009).
17. Robinson, M. D., Toth, C. A., Lo, J. Y., and Farsiu, S., "Efficient fourier-wavelet super-resolution," IEEE Transactions on Image Processing 19(10), 2669-2681 (2010).
18. Rudin, L., Osher, S., and Fatemi, E., "Nonlinear total variation based noise removal algorithms," Physica D 60, 259-268 (1992).
19. Geman, D. and Yang, C., "Nonlinear image recovery with half-quadratic regularization," IEEE Transactions on Image Processing 4(7), 932-946 (1995).
20. Irani, M. and Peleg, S., "Motion analysis for image enhancement: Resolution, occlusion, and transparency," Journal of Visual Communication and Image Representation 4, 324-335 (1993).