An Adaptive Illumination Optimization Method for Local Overexposed Image
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Published:2022-08-17
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Volume:
Page:
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ISSN:0219-4678
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Container-title:International Journal of Image and Graphics
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language:en
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Short-container-title:Int. J. Image Grap.
Author:
Lyu Chengang1,
Zhang Mengqi1,
Jin Jie1
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China
Abstract
In order to solve the local overexposure caused by uneven surface reflectance, this paper proposes a fast-adaptive illumination control method with a camera-projector system. At first, an image is captured by the camera and the local overexposed area is segmented using saliency detection. Then the calculated image is projected onto the object by the projector as corrective illumination. The calculation process includes the inversion of the gray value in the overexposed area and the adjustment based on the position and depth information of the object. The high-exposure saturated regional which affects the target recognition is thus reduced, and the original illumination intensity is reserved for the other regions. This process is iterated until the optimal illumination is achieved. The resulting image for each iteration is evaluated using Blind/no Reference Image Space Quality Estimator (BRISQUE). When BRISQUE value reaches the minimum, a high-quality image is achieved. The experiments show that the proposed approach can significantly improve the speed of obtaining normally exposed images, and this system provides new ideas for industry image acquisition.
Funder
National Natural Science Foundation of China
Publisher
World Scientific Pub Co Pte Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition