No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness
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Title
No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness
Authors
Keywords
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Journal
SIGNAL PROCESSING
Volume 203, Issue -, Pages 108782
Publisher
Elsevier BV
Online
2022-09-12
DOI
10.1016/j.sigpro.2022.108782
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Note: Only part of the references are listed.- Quality assessment of multi-exposure image fusion by synthesizing local and global intermediate references
- (2022) Jiawu Xu et al. DISPLAYS
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- (2020) Xuelin Liu et al. INFORMATION SCIENCES
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- (2020) Oguzhan Ulucan et al. SIGNAL PROCESSING
- Referenceless Quality Evaluation of Tone-Mapped HDR and Multiexposure Fused Images
- (2019) Guanghui Yue et al. IEEE Transactions on Industrial Informatics
- A Multi-Attribute Blind Quality Evaluator for Tone-Mapped Images
- (2019) Saeed Mahmoudpour et al. IEEE TRANSACTIONS ON MULTIMEDIA
- No-Reference Quality Assessment of Stereoscopic Videos With Inter-Frame Cross on a Content-Rich Database
- (2019) Jiachen Yang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Biologically Inspired Blind Quality Assessment of Tone-Mapped Images
- (2018) Guanghui Yue et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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- Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
- (2018) Weixia Zhang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- BLIQUE-TMI: Blind Quality Evaluator for Tone-Mapped Images Based on Local and Global Feature Analyses
- (2017) Qiuping Jiang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- No-Reference Quality Assessment of Tone-Mapped HDR Pictures
- (2017) Debarati Kundu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Large-Scale Crowdsourced Study for Tone-Mapped HDR Pictures
- (2017) Debarati Kundu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Perceptual quality prediction on authentically distorted images using a bag of features approach
- (2017) Deepti Ghadiyaram et al. JOURNAL OF VISION
- No-Reference Quality Assessment for Multiply-Distorted Images in Gradient Domain
- (2016) Qiaohong Li et al. IEEE SIGNAL PROCESSING LETTERS
- Human Visual System-Based Saliency Detection for High Dynamic Range Content
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- Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure
- (2016) Ke Gu et al. IEEE TRANSACTIONS ON MULTIMEDIA
- FSITM: A Feature Similarity Index For Tone-Mapped Images
- (2015) Hossein Ziaei Nafchi et al. IEEE SIGNAL PROCESSING LETTERS
- A Feature-Enriched Completely Blind Image Quality Evaluator
- (2015) Lin Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging
- (2015) Lark Kwon Choi et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Incremental learning for ν-Support Vector Regression
- (2015) Bin Gu et al. NEURAL NETWORKS
- Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features
- (2014) Wufeng Xue et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- No-reference image quality assessment in curvelet domain
- (2014) Lixiong Liu et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- Spatially varying image based lighting using HDR-video
- (2013) Jonas Unger et al. COMPUTERS & GRAPHICS-UK
- From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category
- (2013) I. I. A. Groen et al. JOURNAL OF NEUROSCIENCE
- Making a “Completely Blind” Image Quality Analyzer
- (2012) A. Mittal et al. IEEE SIGNAL PROCESSING LETTERS
- No-Reference Image Quality Assessment in the Spatial Domain
- (2012) A. Mittal et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
- (2012) M. A. Saad et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Objective Quality Assessment of Tone-Mapped Images
- (2012) Hojatollah Yeganeh et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
- (2011) A. K. Moorthy et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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