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Robust statistics and no-reference image quality assessment in Curvelet domain
This paper uses robust statistics and curvelet transform to learn a general-purpose no-reference (NR) image quality assessment (IQA) model. -
Training-Free Synthesized Face Sketch Recognition
Face sketch synthesis has wide applications ranging from digital entertainments to law enforcements. Objective image quality assessment scores and face recognition accuracy are... -
Waterloo Exploration Database
The Waterloo Exploration Database is a large-scale dataset for testing the generalization performance of image quality assessment models. -
OCTA-25K-IQA-SEG dataset
The OCTA-25K-IQA-SEG dataset for image quality assessment -
Zerman2017 and UPIQ
Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ. -
Valenzise2014, Zerman2017, and UPIQ
Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ. -
Narwaria2013, Valenzise2014, Zerman2017, and UPIQ
Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ. -
Kodak dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal... -
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Asse...
The proposed method consists of four components: feature extractor using ViT, transposed attention block, scale swin transformer block, and a dual branch structure for... -
LIVE Challenge
With the popularity of smartphones and other camera devices in recent years, a vast amount of images have been produced and play an increasingly important role in people’s... -
Kodak PhotoCD
The Kodak PhotoCD dataset is a collection of 1000 images for image compression tasks.