Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise

Bajic, BudaFaculty of Technical Sciences, University of Novi Sad, Serbia (författare)

Single image super-resolution (SR) reconstructionaims to estimate a noise-free and blur-free high resolution imagefrom a single blurred and noisy lower resolution observation.Most existing SR reconstruction methods assume that noise in theimage is white Gaussian. Noise resulting from photon countingdevices, as commonly used in image acquisition, is, however,better modelled with a mixed Poisson-Gaussian distribution. Inthis study we propose a single image SR reconstruction methodbased on energy minimization for images degraded by mixedPoisson-Gaussian noise.We evaluate performance of the proposedmethod on synthetic images, for different levels of blur andnoise, and compare it with recent methods for non-Gaussiannoise. Analysis shows that the appropriate treatment of signaldependentnoise, provided by our proposed method, leads tosignificant improvement in reconstruction performance.

NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
super-resolution
image zooming
signal dependent noise
energy minimization
variance stabilizing transform
total variation.
Computerized Image Processing
Datoriserad bildbehandling
Datoriserad bildanalys
Computerized Image Analysis

Lindblad, JoakimUppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia,Centre for Image Analysis(Swepub:uu)joali534 (författare)
Sladoje, NatasaUppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion,Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia,Centre for Image Analysis(Swepub:uu)namat934 (författare)
Faculty of Technical Sciences, University of Novi Sad, SerbiaAvdelningen för visuell information och interaktion (creator_code:org_t)

Ingår i:2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA): IEEE9781467389105

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NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Datorseende och ...

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