Yao-Liang Chung1,*, Hung-Yuan Chung2, Yu-Shan Chen2
Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 367-383, 2020, DOI:10.31209/2020.100000206
Abstract In this study, we introduce an algorithm which is based on a series of wellknown algorithms and mainly uses an improved dark channel prior algorithm
and the White-Patch Retinex algorithm (both are heterogeneous algorithms) in
order to effectively remove the haze from a single image. When used in
conjunction with a heterogeneous architecture, the value of the algorithm
becomes even greater. With an effective design and a novel procedure, the
proposed algorithm can not only restore a clear image, but also solve the halo
effect, color distortion, and long operating time issues resulting from the dark
channel prior. Rich experimental… More >
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