Title :
Image quality assessment on image haze removal
Author :
Fang, Shuai ; Yang, Jingrong ; Zhan, Jiqing ; Yuan, Hongwu ; Rao, Ruizhong
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
Abstract :
In the hazy weather, the image of outdoor scene is degraded by suspended particles. Recently, great progresses have been made on single image haze removal. Therefore an accurate quality metric is required. Although image quality assessment has been extensively studied these past few decades, few methods can be applied in this area since there is no reference image. This paper proposed an evaluation metric combining the ascension of contrast degree with the structural similarity to deal with the problem. The ascension of the contrast degree and the structural similarity are computed respectively based on the spatial frequency contrast and the edges consistency between the hazy and the dehazed image. At last, we evaluate the state-of-the-art image haze removal methods based on our evaluation metric.
Keywords :
image enhancement; evaluation metric; image haze removal; image quality assessment; quality metric; spatial frequency contrast; structural similarity; Band pass filters; Computers; Equations; Image edge detection; Image quality; Mathematical model; Measurement; Contrast Enhancement; Dehaze; Image Quality Assessment; Structural Similarity; the Contrast Degree of Ascension;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968254