Title :
Nighttime haze removal using color transfer pre-processing and Dark Channel Prior
Author :
Soo-Chang Pei ; Tzu-Yen Lee
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
Removing nighttime haze technique is an important and necessary procedure to avoid ill-condition visibility of human eyes. To increase the visibility of the scene, there are some existing methods for dehazing in the daytime. Specifically, these methods have a satisfactory dehazing quality in the daytime but most of them are not all successful in the nighttime. In this paper, the proposed method can be properly applied nighttime haze images even they have some ill-properties of low overall contrast, low overall brightness, and “blue shift” airlight color. The basic concept of proposed method is to use color transfer [7], refined Dark Channel Prior (DCP), and Bilateral Filter in Local Contrast Correction (BFLCC)[5]. Experimental results show that the proposed method has the reliable capabilities for removing nighttime haze and attractive for some applications such as computer vision, vehicle, aviation and national defense security.
Keywords :
image colour analysis; image enhancement; BFLCC; DCP; aviation; bilateral filter in local contrast correction; blue shift airlight color; color transfer; color transfer preprocessing; computer vision; dark channel prior; human eyes; ill-condition visibility; low overall brightness; low overall contrast; national defense security; nighttime haze removal; refined dark channel prior; satisfactory dehazing quality; vehicle; Brightness; Computer vision; Filtering algorithms; Helium; Image color analysis; Low pass filters; Reliability; Nighttime dehazing; color transfer; dark channel prior; post processing;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467020