Title :
Stereo image defogging
Author :
Yeejin Lee ; Gibson, K.B. ; Zucheul Lee ; Nguyen, T.Q.
Author_Institution :
Univ. of California San Diego, La Jolla, CA, USA
Abstract :
This paper presents a new approach to estimate fog-free images from stereo foggy images. We investigate a new way to estimate transmission by computing the scattering coefficient and depth information of a scene. However, most existing visibility restoration algorithms estimate transmission independently on scattering coefficient and object distance. In the proposed method, the natural color of a foggy image is recovered using depth information from a stereo image pair even though prior knowledge or multiple images taken at different times are not required. Furthermore, we explore a new way to measure the scattering coefficient by using a stereo image pair from an image processing perspective. Experimental results verify that the proposed method outperforms the conventional defogging methods.
Keywords :
image restoration; stereo image processing; depth information; fog-free image estimation; image processing perspective; object distance; scattering coefficient; stereo foggy images; stereo image defogging; transmission estimation; visibility restoration algorithms; Atmospheric modeling; Estimation; Image color analysis; Image restoration; Meteorology; PSNR; Scattering; defogging/dehazing; disparity estimation; physics-based vision; scattering coefficient; stereo image processing;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7026098