Paper Info
Title
Curve-based and image-based JND contrast analysis for inverse tone mapping operators
Abstract
Recent studies on inverse tone mapping attempt to reproduce real-world images using low dynamic range (LDR) images. Evaluation metrics to qualify the performance of inverse tone mapping operators (iTMOs) are important. Just Noticeable Difference (JND) is widely used in image analysis as visual sensitivity measure for quality assessment. However, this measure does not provide insights into how the characteristics of iTMO curves affect the quality of high dynamic range (HDR) images. Therefore, based on the probability of various contrast changes, this study proposes a curve-based and an image-based JND quality assessment metric to detect visual distortion. The results of this curve-based and image-based quality metric match those of the visible difference predictor (VDP) method. This metric does not require complex calibration and involves only simple computation. In addition, this method reveals the effect of various iTMO curve parameters.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116457
ICIP
Keywords
Field
DocType
inverse tone mapping,visible difference predictor method,image processing,visual distortion,image quality assessment,inverse tone mapping operators,visual sensitivity,high dynamic range images,optical distortion,just noticeable difference,curve-based jnd contrast analysis,quality assessment metric,probability,real-world images,low dynamic range images,image-based jnd contrast analysis,visualization,calibration,image analysis,dynamic range,tone mapping
Computer vision,Dynamic range,Pattern recognition,Computer science,Visualization,Image processing,Tone mapping,Artificial intelligence,Just-noticeable difference,High dynamic range,Calibration,Computation
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
1
PageRank 
References 
Authors
0.37
4
2
Name
Order
Citations
PageRank
Chih-Rung Chen1191.89
Ching-Te Chiu230438.60