A multi-scale contrast-based image quality assessment model for multi-exposure image fusion-Reference-Cited by-同舟云学术

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A multi-scale contrast-based image quality assessment model for multi-exposure image fusion

Published:2018-04 Issue: Volume:145 Page:233-240
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Xing Lu,Cai Lei,Zeng Huanqiang,Chen Jing,Zhu Jianqing,Hou Junhui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Huaqiao University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference31 articles.

1. A method for fast multi-exposure image fusion;Choi;IEEE Access,2017

2. Robust multi-exposure image fusion: a structural patch decomposition approach;Ma;IEEE Trans. Image Process.,2017

3. Objective quality assessment of screen content images by uncertainty weighting;Fang;IEEE Trans. Image Process.,2017

4. Gradient direction for screen content image quality assessment;Ni;IEEE Signal Process. Lett.,2016

5. ESIM: edge similarity for screen content image quality assessment;Ni;IEEE Trans. Image Process.,2017

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1. Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics;Multimedia Systems;2024-07-05

2. Blind Quality Evaluator for Multi-Exposure Fusion Image via Joint Sparse Features and Complex-Wavelet Statistical Characteristics;2024-04-12

3. Blind quality assessment of multi-exposure fused images considering the detail, structure and color characteristics;PLOS ONE;2023-04-06

4. Measurement method and experimental study of complex profile of turbine blade based on image fusion;Journal of Electronic Imaging;2022-09-21

5. A novel multi-exposure fusion approach for enhancing visual semantic segmentation of autonomous driving;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-05-09

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