Image Dehazing and Enhancement Using Principal Component Analysis and Modified Haze Features

Image Dehazing and Enhancement Using Principal Component Analysis and Modified Haze Features

This paper presents a computationally efficient haze removal and image enhancement methods. The major contribution of the proposed research is two-fold: (i) an accurate atmospheric light estimation using principal component analysis, and (ii) learning-based transmission estimation. To reduce the com...

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Bibliographic Details
Main Authors: Minseo Kim, Soohwan Yu, Seonhee Park, Sangkeun Lee, Joonki Paik
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Applied Sciences
Subjects:
image enhancement
dehazing
random forest
principal component analysis
low-light image enhancement
supervised learning
Online Access:http://www.mdpi.com/2076-3417/8/8/1321

Internet

http://www.mdpi.com/2076-3417/8/8/1321

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