Title :
Sparsity based poisson inpainting
Author :
Giryes, Raja ; Elad, Michael
Author_Institution :
Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
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;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025574