Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model

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概要

• 論文の詳細を見る

• This paper presents an image haze removal algorithm for a single image. The conventional Dark Channel Prior (DCP) algorithm estimates the transmission map using the dark information in an image. The haze regions are then detected using a matting algorithm. However, the resulting transmission map invariably includes some block artifacts as the DCP algorithm is based on block-based processing. Therefore, to solve this problem, an algorithm for a modified transmission map is proposed using a Hidden Markov Random Field (HMRF) algorithm. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• KWON Oh-Seol

  Dept. of Control & Instrumentation Engineering, Changwon National University

• LEE Min-Hyuk

  Dept. of Control & Instrumentation Engineering, Changwon National University

• LEE Min-Hyuk

  Dept. of Control & Instrumentation Engineering, Changwon National University

関連論文

• Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model

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