Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a new Expectation Propagation (EP) algorithm using ℓ 1 -norm total variation (ℓ 1 -TV) prior is proposed for color image restoration in the low photon-count regime. Different from most color image restoration methods proposed for the restoration of color images from observations that are already color images with some missing pixels and/or are usually corrupted by Gaussian noise, the observations considered in this paper are only a single channel grayscale image without color information and are corrupted by Poisson noise, making the color image restoration problem more difficult. To address the problem, a new efficient EP algorithm is proposed to estimate the RGB values of each pixel from such observations and simultaneously provide uncertainty quantification of the estimates. Moreover, by coupling the EP algorithm with a variational Expectation Maximization (EM) approach, the ℓ 1- TV prior hyperparameter can be adjusted automatically with-out user supervision. Experiments on color image inpainting and compressive sensing (CS) reconstruction are conducted to illustrate the potential benefits of the proposed EP algorithm for color image restoration in the low photon-count regime.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages3126-3130
Number of pages5
ISBN (Electronic)9781665496209
DOIs
Publication statusPublished - 18 Oct 2022
Event2022 IEEE International Conference on Image Processing - Bordeaux, France
Duration: 16 Oct 202219 Oct 2022

Conference

Conference2022 IEEE International Conference on Image Processing
Abbreviated titleICIP 2022
Country/TerritoryFrance
CityBordeaux
Period16/10/2219/10/22

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