Perceptual Quality Assessment for Multi-Exposure Image Fusion

Multi-exposure image fusion (MEF) is considered an effective quality enhancement technique widely adopted in consumer electronics, but little work has been dedicated to the perceptual quality assessment of multi-exposure fused images. In this paper, we first build an MEF database and carry out a sub...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 24; H. 11; S. 3345 - 3356
Hauptverfasser:	Ma, Kede, Kai Zeng, Zhou Wang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational modeling Computer vision Defense industry Image edge detection Image fusion Image processing Image quality image quality assessment Image sequences luminance consistency Mathematical models Matlab Multi-exposure image fusion (MEF) perceptual image processing Prediction algorithms Quality Quality assessment structural similarity subjective evaluations structural similarity perceptual image processing image quality assessment luminance consistency subjective evaluations Multi-exposure image fusion (MEF)
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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