3 papers
On the RAID dataset of perceptual responses: analysis and statistical causes
Paula Daudén-Oliver, David Agost-Beltran, Emilio Sansano-Sansano +4
This work analyzes the RAID dataset to evaluate human responses to affine image distortions, including rotation, translation, scaling, and Gaussian noise. Using Mean Squared Error…
Computing a Characteristic Orientation for Rotation-Independent Image Analysis
Cristian Valero-Abundio, Emilio Sansano-Sansano, Raúl Montoliu +1
Handling geometric transformations, particularly rotations, remains a challenge in deep learning for computer vision. Standard neural networks lack inherent rotation invariance and…
RAID-Database: human Responses to Affine Image Distortions
Paula Daudén-Oliver, David Agost-Beltran, Emilio Sansano-Sansano +3
Image quality databases are used to train models for predicting subjective human perception. However, most existing databases focus on distortions commonly found in digital media a…