@Article{2020.100000206,
AUTHOR = {Yao-Liang Chung, Hung-Yuan Chung, Yu-Shan Chen},
TITLE = {A Study of Single Image Haze Removal Using a Novel White-Patch RetinexBased Improved Dark Channel Prior Algorithm},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {2},
PAGES = {367--383},
URL = {http://www.techscience.com/iasc/v26n2/39952},
ISSN = {2326-005X},
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 results (visually and numerically) confirm that 
the performance and effectiveness of the new algorithm are better than those 
of the dark channel prior algorithm, indicating the applicability of the new 
algorithm.},
DOI = {10.31209/2020.100000206}
}