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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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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1724184250255671296 |