An improved image clearness algorithm based on dark channel prior

Author

Huang Darong ; Fang Zhou ; Zhao Ling ; Chu Xiaoyan

Author_Institution

Chongqing Jiaotong Univ., Chongqing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

7350

Lastpage

7355

Abstract

An improved image clearness method based on the theory of dark channel prior is proposed. Firstly, the single channel image coming from the minimum value of each pixel among the three color channels is computed; secondly, the atmospheric light is estimated by using the wavelet threshold method; thirdly, the transmission maps are calculated by using the atmospheric light, and then the image is recovered by using the atmospheric light. The experiment results show that this method can restore the fogging image effectively and reduce the time complexity which brought by Soft Matting algorithm greatly.

Keywords

image colour analysis; image segmentation; wavelet transforms; Soft Matting algorithm; atmospheric light; color channels; dark channel; fogging image; image clearness algorithm; image clearness method; single channel image; time complexity; transmission maps; wavelet threshold method; Algorithm design and analysis; Atmospheric modeling; Atmospheric waves; Image color analysis; Image restoration; Scattering; Wavelet transforms; dark channel prior; defogging algorithm; wavelet de-noising method;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6896219

Filename

6896219