Blind HDR image quality assessment based on aggregating perception and inference features
Abstract High Dynamic Range (HDR) images, with their expanded range of brightness and color, provide a far more realistic and immersive viewing experience compared to Low Dynamic Range (LDR) images. However, the significant increase in peak luminance and contrast inherent in HDR images often accentu...
Saved in:
| Main Authors: | Donghui Wan, Xiuhua Jiang, Qiangguo Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-94005-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PGHDR: Dynamic HDR reconstruction with progressive feature alignment and quality-guided fusion
by: Ying Qi, et al.
Published: (2025-08-01) -
Bayesian Inference for Post-Processing of Remote-Sensing Image Classification
by: Gilberto Camara, et al.
Published: (2024-12-01) -
Subjective and Objective Quality Assessment of Image: A Survey
by: Pedram Mohammadi, et al.
Published: (2024-02-01) -
Parametric Inference in Biological Systems in a Random Environment
by: Manuel Molina-Fernández, et al.
Published: (2024-12-01) -
INNOVATIVE BUSINESS DEVELOPMENT. STATISTICAL INFERENCE OF SIX SIGMA
by: DENIS ANATOL’EVICH Zhevnov
Published: (2018-04-01)