Perceptual evaluation of single image dehazing algorithms

Images captured in outdoor scenes often suffer from poor visibility and color shift due to the presence of haze. Although many algorithms have been proposed to remove the haze, not much effort has been made on quality assessment of dehazed images. In this paper, we first build a database that contai...

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Bibliographic Details
Published in2015 IEEE International Conference on Image Processing (ICIP) pp. 3600 - 3604
Main Authors Kede Ma, Wentao Liu, Zhou Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2015
Subjects
Atmospheric modeling
Correlation
Image color analysis
Image dehazing
image enhancement
Image resolution
Observers
perceptual image processing
Quality assessment
subjective image quality assessment
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Summary:Images captured in outdoor scenes often suffer from poor visibility and color shift due to the presence of haze. Although many algorithms have been proposed to remove the haze, not much effort has been made on quality assessment of dehazed images. In this paper, we first build a database that contains 25 hazy images as well as dehazed images created by eight dehazing algorithms. A subjective user study is then carried out based on the database, from which we have several useful findings. First, considerable agreement between human subjects on the perceived quality of hazy and dehazed images is observed. Second, not a single dehazing algorithm performs the best for all test images. Third, existing objective image quality assessment (IQA) models are very limited in providing proper quality predictions of dehazed images.
DOI:10.1109/ICIP.2015.7351475