Tone Mapped High Dynamic Range Image Quality Assessment Techniques: Survey and Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-020-09428-y.pdf
Reference46 articles.
1. Chen P, Li L, Zhang X, Wang S, Tan A (2019) Blind quality index for tone-mapped images based on luminance partition. Pattern Recogn 89:108–118
2. Khwildi R, Zaid AO (2019) HDR image retrieval by using color-based descriptor and tone mapping operator. Vis Comput https://doi.org/10.1007/s00371-019-01719-1
3. Zerman E, Valenzise G, Dufaux F (2017) An extensive performance evaluation of full-reference HDR image quality metrics. Qual User Exp 2(1):5
4. Hanhart P, Bernardo MV, Pereira M, Pinheiro AM, Ebrahimi T (2015) Benchmarking of objective quality metrics for HDR image quality assessment. EURASIP J Image Video Process 1:39
5. Thai BC, Mokraoui A, Matei B (2019) Contrast enhancement and details preservation of tone mapped high dynamic range images. J Vis Commun Image Represent 58:589–599
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2. Swipes and Saves: A Taxonomy of Factors Influencing Aesthetic Assessments and Perceived Beauty of Mobile Phone Photographs;Frontiers in Psychology;2022-02-28
3. Deep Tone-Mapping Operator Using Image Quality Assessment Inspired Semi-Supervised Learning;IEEE Access;2021
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