Title :
Effective image haze removal using dark channel prior and post-processing
Author :
Pei, Soo-Chang ; Lee, Tzu-Yen
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
Removing haze technique is an important and necessary procedure to avoid ill-condition visibility of human eyes. To improve the dehazing quality, a new haze-removing method is proposed in this paper. Specifically, this method can be properly applied to various dense and distribution haze images without sacrificing color naturalness by using refined Dark Channel Prior(DCP) and adding post processing. Experimental results demonstrate that the new method provides higher dehazing quality and color naturalness than other existing techniques.
Keywords :
image colour analysis; image resolution; DCP; dark channel prior; dehazing quality; effective image haze removal; haze technique; post processing; Brightness; Computer vision; Conferences; Helium; Image color analysis; Indexes; Robustness;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6271886