An Objective Deghosting Quality Metric for HDR Images

• Published in: Computer graphics forum Vol. 35; no. 2; pp. 139 - 152
• Main Authors: Tursun, Okan Tarhan, Akyüz, Ahmet Oğuz, Erdem, Aykut, Erdem, Erkut
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.05.2016
• Subjects: Algorithms; Analysis; Categories and Subject Descriptors (according to ACM CCS); Computer graphics; Dynamic range; Dynamics; I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Motion; Image processing systems; Image quality; Image reconstruction; Stacks; Studies
• ISSN: 0167-7055; 1467-8659
• DOI: 10.1111/cgf.12818

Reconstructing high dynamic range (HDR) images of a complex scene involving moving objects and dynamic backgrounds is prone to artifacts. A large number of methods have been proposed that attempt to alleviate these artifacts, known as HDR deghosting algorithms. Currently, the quality of these algorithms are judged by subjective evaluations, which are tedious to conduct and get quickly outdated as new algorithms are proposed on a rapid basis. In this paper, we propose an objective metric which aims to simplify this process. Our metric takes a stack of input exposures and the deghosting result and produces a set of artifact maps for different types of artifacts. These artifact maps can be combined to yield a single quality score. We performed a subjective experiment involving 52 subjects and 16 different scenes to validate the agreement of our quality scores with subjective judgements and observed a concordance of almost 80%. Our metric also enables a novel application that we call as hybrid deghosting, in which the output of different deghosting algorithms are combined to obtain a superior deghosting result.