Perceptual Quality Assessment for Multi-Exposure Image Fusion

• Published in: IEEE transactions on image processing Vol. 24; no. 11; pp. 3345 - 3356
• Main Authors: Ma, Kede, Kai Zeng, Zhou Wang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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)

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...