Single Backlit Image Enhancement

Backlit images are from an excessive reflection of light being opposite to a capturing device. The existing image enhancement methods cannot be directly applied to the backlit images because they are not designed to enhance both broad light and dark regions simultaneously. Moreover, the techniques h...

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Main Authors: Thaweesak Trongtirakul, Werapon Chiracharit, Sos S. Agaian
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9063535/
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spelling doaj-e87d87f19cbb4d699e6e00759378bc522021-03-30T02:59:06ZengIEEEIEEE Access2169-35362020-01-018719407195010.1109/ACCESS.2020.29872569063535Single Backlit Image EnhancementThaweesak Trongtirakul0https://orcid.org/0000-0002-7982-5202Werapon Chiracharit1Sos S. Agaian2Department of Electronics and Telecommunication Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, ThailandDepartment of Electronics and Telecommunication Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, ThailandDepartment of Computer Science, College of Staten Island, The City University of New York, New York City, NY, USABacklit images are from an excessive reflection of light being opposite to a capturing device. The existing image enhancement methods cannot be directly applied to the backlit images because they are not designed to enhance both broad light and dark regions simultaneously. Moreover, the techniques have several limitations about over-saturation or losing contrast. This paper presents a single backlit image enhancement method based on the novel full-piecewise non-linear automatic stretching, without input parameter provided by a user, e.g., gamma and so on. The computer simulation results confirm that the proposed approach can (i) undoubtedly reveal hidden details in the dark region; (ii) preserve features and color of common and light (over-brightness) regions, and (iii) increase a local contrast of dark areas. The proposed approach tested on Li's backlit image database and several backlit images from commercial devices. The simulation results demonstrate the efficiency of the proposed approach and its advantages over the cutting-edge backlit image enhancement methods in perceptual quality.https://ieeexplore.ieee.org/document/9063535/Backlit imagescolor correctioncontrast enhancementimage segmentation
collection DOAJ
language English
format Article
sources DOAJ
author Thaweesak Trongtirakul
Werapon Chiracharit
Sos S. Agaian
spellingShingle Thaweesak Trongtirakul
Werapon Chiracharit
Sos S. Agaian
Single Backlit Image Enhancement
IEEE Access
Backlit images
color correction
contrast enhancement
image segmentation
author_facet Thaweesak Trongtirakul
Werapon Chiracharit
Sos S. Agaian
author_sort Thaweesak Trongtirakul
title Single Backlit Image Enhancement
title_short Single Backlit Image Enhancement
title_full Single Backlit Image Enhancement
title_fullStr Single Backlit Image Enhancement
title_full_unstemmed Single Backlit Image Enhancement
title_sort single backlit image enhancement
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Backlit images are from an excessive reflection of light being opposite to a capturing device. The existing image enhancement methods cannot be directly applied to the backlit images because they are not designed to enhance both broad light and dark regions simultaneously. Moreover, the techniques have several limitations about over-saturation or losing contrast. This paper presents a single backlit image enhancement method based on the novel full-piecewise non-linear automatic stretching, without input parameter provided by a user, e.g., gamma and so on. The computer simulation results confirm that the proposed approach can (i) undoubtedly reveal hidden details in the dark region; (ii) preserve features and color of common and light (over-brightness) regions, and (iii) increase a local contrast of dark areas. The proposed approach tested on Li's backlit image database and several backlit images from commercial devices. The simulation results demonstrate the efficiency of the proposed approach and its advantages over the cutting-edge backlit image enhancement methods in perceptual quality.
topic Backlit images
color correction
contrast enhancement
image segmentation
url https://ieeexplore.ieee.org/document/9063535/
work_keys_str_mv AT thaweesaktrongtirakul singlebacklitimageenhancement
AT weraponchiracharit singlebacklitimageenhancement
AT sossagaian singlebacklitimageenhancement
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