Paper Info
Title
A New Tone-Mapped Image Quality Assessment Approach For High Dynamic Range Imaging System
Abstract
Tone-mapping operators are designed to apply high dynamic range (HDR) images on widely-used low dynamic range (LDR) devices. Developing well-performed tone mapped image quality assessment (IQA) method is highly desired because traditional IQA method cannot be adopted in cross dynamic range quality measuring. To this end, we proposed a quality assessment method based on image exposure property. Specifically, an image exposure property determination model is utilized to segment HDR image into different exposure region. Then, quality features are extracted according to the distortion characteristics of each exposure region. Finally, the quality of tone-mapped image can be acquired by a trained regression model. Validation experiments on public database show that the proposed method can accurately predict the quality of tone-mapped image.
Year
Venue
Keywords
2017
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Visual quality assessment, High Dynamic Range Imaging, Tone mapping operator, Image Segmentation
Field
DocType
ISSN
Computer vision,Dynamic range,Pattern recognition,Computer science,Image quality,Feature extraction,Image segmentation,Artificial intelligence,Operator (computer programming),High-dynamic-range imaging,Distortion,High dynamic range
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Yang Song16422.68
Gangyi Jiang2865105.98
hao jiang35917.96
Mei Yu454286.20
Feng Shao560372.75
Zongju Peng627657.69