Real-time image dehazing using genetic programming

被引：0
|
作者：
Enrique Hernandez-Beltran, Jose [1 ]
Diaz-Ramirez, Victor H. [1 ]
Juarez-Salazar, Rigoberto [2 ]
机构：
[1] Inst Politecn Nacl, CITEDI, Ave Inst Politecn Nacl 1310, Nueva Tijuana 22435, BC, Mexico
[2] Inst Politecn Nacl, CITEDI, CONACYT, Ave Inst Politecn Nacl 1310, Tijuana 22435, BC, Mexico
来源：
OPTICS AND PHOTONICS FOR INFORMATION PROCESSING XIII | 2019年 / 11136卷
关键词：
Image dehazing; genetic programming; real-time image processing; RESTORATION; VISION; DESIGN;
D O I：
10.1117/12.2528510
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A real-time system for restoration of images degraded by haze is presented. First, a transmission function estimator is automatically constructed using genetic programming. Next, the resultant estimator is employed to compute the transmission function of the scene by processing an input hazy image. Finally, the estimated transmission function and the hazy image are used in a restoration model based on atmospheric optics to obtain a haze-free image. The proposed method is implemented in a laboratory prototype for high-rate image processing. The performance of the proposed approach is evaluated in terms of objective metrics using synthetic and real-world images.
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页数：9
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