DocumentCode :
167209
Title :
Remove Strong Light and Atomized Algorithms for Digital Image
Author :
Cheng Yi Yu ; Hsueh Yi Lin ; Shih Yun Chen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
fYear :
2014
fDate :
10-12 June 2014
Firstpage :
115
Lastpage :
118
Abstract :
In this study using dark channel prior for single image remove strong light and atomized. The method used to dark channel estimate transfer and Soft Matting transmittance, of a method for thinning processing, obtain a depth map image of strong light. the light reflected from the scene is affected surface of airborne particles, which leads to a decrease in image contrast, while the ambient scene light will be scattered in the air suspended particles, the scattered light into the imaging device and will cause the image color drift, the overall look of the image becomes blurred images and details of the contents illegible gray color bias. Image of outdoor scenes are degraded by the medium. Can be effective remove strong light, so that the overall image contrast in natural.
Keywords :
image colour analysis; image thinning; ambient scene light; atomized algorithms; dark channel prior; image color drift; image contrast; soft matting transmittance; strong light removal; thinning processing; Atmosphere; Channel estimation; Computer vision; Image color analysis; Imaging; Reflection; Scattering; Dark channel prior; Soft Matting transmittance; Strong light; image color drift;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/IS3C.2014.41
Filename :
6845473
Link To Document :
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