6533b853fe1ef96bd12ad4d8

RESEARCH PRODUCT

A Color Image Database for Haze Model and Dehazing Methods Evaluation

Alamin MansouriJean-baptiste ThomasJessica El Khoury

subject

Image formationHazeDatabaseColor imageComputer scienceImage qualitybusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEnvironment controlled020207 software engineering02 engineering and technologycomputer.software_genreImage (mathematics)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Computer graphics (images)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringTransmittanceRadiance020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinesscomputerComputingMethodologies_COMPUTERGRAPHICS

description

International audience; One of the major issues related to dehazing methods (single or multiple image based) evaluation is the absence of the haze-free image (ground-truth). This is also a problem when it concerns the validation of Koschmieder model or its subsequent dehazing methods. To overcome this problem, we created a database called CHIC (Color Hazy Image for Comparison), consisting of two scenes in controlled environment. In addition to the haze-free image, we provide 9 images of different fog densities. Moreover, for each scene, we provide a number of parameters such as local scene depth, distance from the camera of known objects such as Macbeth Color Checkers, their radiance, and the haze level through transmittance. All of these features allow the possibility to evaluate and compare between dehazing methods by using full-reference image quality metrics regarding the haze-free image, and also to evaluate the accuracy of the Koschmieder hazy image formation model.

yearjournalcountryeditionlanguage
2016-05-30
https://doi.org/10.1007/978-3-319-33618-3_12