Single Image Haze Removal Based on Transmittance of Different Light Components
Date Issued
2011
Date
2011
Author(s)
Tsai, Chia-Na
Abstract
Haze removal is highly desired in both computer vision applications and consumer photography. The presence of suspended particles in the atmosphere disturbs the transference of light and leads direct attenuation to a reflectance of scene radiance. When the incident light hit directly to these tiny particles, the scattered light called airlight which is covering over the reflectance of scene radiance and reaching human’s eyes or cameras forming a hazy scene or a foggy image. The haze-covered scene or images might lose details and have the color gloomy. To address this problem, an effective single image dehazing method according to the transmittance of different light components is proposed in this novel. A physics-based image degradation model of a linear combination of direct attenuation and airlight adding with optics theory are utilized in the proposed method.
In this thesis, we assume that the arrived light is a type of energy which is compounded and achromatic. The color that we felt is the product of an interaction between cones in the retina and nerves of the brain. Estimating the airlight by computing a suitable value which can produce a maximum contrast. After the derivation of airlight, transmission maps are straightforward. Recovery of scene radiance is easily achieved by above steps. Experimental results of proposed method demonstrate its ability to recover the scene radiance and repair image details. The performance of proposed method is further explored via comparative studies with several state-of–the-art single image dehazing methods.
Subjects
Single Image Dehazing
Energy Separation
Contrast Maximization
Airlight Estimation
Transmittance of Light Components
Radiance Recovery
Type
thesis
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