Open AccessSingle Image Haze Removal using Contextual Regularization
Author(s) -
C. Shobageswari,
M N Vimal Kumar,
K. Ilamathi,
R. Mamtha,
Systems Engineer, Infosys, Bangalore, India.
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1926.029420
Subject(s) - haze , visibility , regularization (linguistics) , computer science , artificial intelligence , computer vision , image (mathematics) , meteorology , geography
Haze is a condition where our visibility gets affected due to particles, smoke, dust and moisture which are suspended in air. Haze reduces the visibility. A contextual regularization de-hazing algorithm is proposed which uses a single frame image for enhancing the foggy image using multilevel transmission mapping. Quantitative parameters such as MSE and PSNR are considered to assess the superiority of the proposed method. The proposed method is fast and free from noise when compared with other existing methods.
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