Exposure Correction Model to Enhance Image Quality
Author:
Affiliation:
1. Karlsruhe Institute of Technology
2. Istanbul Technical University
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857030.pdf?arnumber=9857030
Reference68 articles.
1. Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement
2. Deep Guided Learning for Fast Multi-Exposure Image Fusion
3. Deep Automatic Natural Image Matting
4. Bridging Composite and Real: Towards End-to-End Deep Image Matting
5. Privacy-Preserving Portrait Matting
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1. CNN Injected transformer for image exposure correction;Neurocomputing;2024-06
2. Advocating Pixel-Level Authentication of Camera-Captured Images;IEEE Access;2024
3. Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach;2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS);2023-12-06
4. Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
5. Exposure correction by deep curve estimation;Signal, Image and Video Processing;2023-10-17
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