Paper Info
Title
Perceptual Quality Assessment Of Hdr Deghosting Algorithms
Abstract
High dynamic range (HDR) imaging techniques aim to extend the dynamic range of images that cannot be well captured using conventional camera sensors. A common practice is to take a stack of pictures with different exposure levels and fuse them to produce a final image with more details. However, a small displacement between images caused by either camera or scene motion would void the benefits and cause the so-called ghosting artifacts. Over the past decade, many HDR deghosting algorithms have been proposed, but little work has been dedicated to evaluate HDR deghosting results either subjectively or objectively. In this work, we present a comprehensive subjective study for HDR deghosting. Specifically, we create a database that contains 20 dynamic image sequences and their corresponding deghosting results by 9 deghosting algorithms. A subjective user study is then carried out to evaluate the perceptual quality of deghosted images. The experimental results demonstrate the performance and limitations of existing HDR deghosting algorithm as well as no-reference image quality assessment models. In the future, we will make the database available to the public.
Year
Venue
Keywords
2017
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
High dynamic range imaging, HDR deghosting, subjective quality assessment
Field
DocType
ISSN
Computer vision,Dynamic range,Image sensor,Computer science,Algorithm,Image quality,Artificial intelligence,Fuse (electrical),High dynamic range,Perception,Ghosting
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Yuming Fang1124775.50
Hanwei Zhu262.13
Kede Ma377327.93
zhou wang4183.28