Degradation of turbid images based on the adaptive logarithmic algorithm

Authors:
Yu-Yi Liao;Shen-Chuan Tai;Jzau-Sheng Lin;Ping-Jui Liu
Affiliations:
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan;Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan;Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan;Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan
Venue:
Computers & Mathematics with Applications
Year:
2012

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Abstract

Turbidity such as fog, mist, haze, and smoke progressively reduces image contrast and visibility with increasing distance. In this paper, we propose an algorithm to degrade the turbid degree from the turbid image. The turbidity can be considered as a kind of noise. The basic assumption of the proposed algorithm is that an image consists of a reference intensity level and a characteristic intensity level. The reference intensity level is considered as general or background intensity level and it can be obtained by a low pass filter. The characteristic intensity level can be calculated by subtracting the reference intensity level from the original intensity level in the given image. The human eye has a logarithmic intensity response so the target intensity level will be created by the adaptive logarithmic function to approach the human vision. The turbid image will be degraded by transforming the characteristic intensity level into the target intensity level according to the proportion of the reference intensity level to the chosen target intensity level. The experimental results show the varied degraded turbid image as well as compared with other algorithms.