Sparsity based poisson inpainting

Raja Giryes; Michael Elad

doi:10.1109/ICIP.2014.7025574

Sparsity based poisson inpainting

Raja Giryes
, Michael Elad

Technion-Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2839-2843
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025574
State	Published - 28 Jan 2014
Externally published	Yes

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Keywords

Dictionary learning
Greedy methods
Inpainting
Poisson denoising
Sparse approximation

Access to Document

10.1109/ICIP.2014.7025574

Cite this

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title = "Sparsity based poisson inpainting",

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.",

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author = "Raja Giryes and Michael Elad",

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doi = "10.1109/ICIP.2014.7025574",

language = "אנגלית",

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Sparsity based poisson inpainting. / Giryes, Raja; Elad, Michael.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2839-2843 7025574 (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Dictionary learning

KW - Greedy methods

KW - Inpainting

KW - Poisson denoising

KW - Sparse approximation

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ER -

Sparsity based poisson inpainting

Abstract

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Keywords

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