DocumentCode
248730
Title
Sparsity based poisson inpainting
Author
Giryes, Raja ; Elad, Michael
Author_Institution
Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
2839
Lastpage
2843
Abstract
Poisson noise appears in various imaging applications, such as low-light photography, medical imaging and space imaging. In many cases we may have occlusions in the received image in addition to the noise. Thus, the problem of Poisson denoising turns to be a Poisson inpainting one in which we need both to remove the noise and recover the values in the occluded locations. In this work we extend a recent novel Poisson denoising method for the task of image inpainting. To the best of our knowledge this is the first work that deals with the problem of Poisson inpainting.
Keywords
image denoising; image restoration; stochastic processes; Poisson noise; image denoising method; image inpainting; low-light photography; medical imaging; space imaging; sparsity based Poisson inpainting; Approximation methods; Dictionaries; Encoding; Imaging; Noise; Noise measurement; Noise reduction; Dictionary Learning; Greedy Methods; Inpainting; Poisson Denoising; Sparse Approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025574
Filename
7025574
Link To Document