A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A 3D-polar coordinate colour representation well adapted to image analysis
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Measuring perceptual contrast in digital images
Journal of Visual Communication and Image Representation
Full-Reference Image Quality Metrics: Classification and Evaluation
Foundations and Trends® in Computer Graphics and Vision
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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In recent years, image enhancement methods have been developed to assist visually impaired people in the everyday life. These methods are promising but they currently suffer from the problem of their correct adjustment according to the specificities of each patient. To address such a problem, an objective quality metric could be used to quantify if enhancement schemes do not introduce artifacts that could be perceived as troublesome by visually deficient persons. As all existing metrics were designed to assess the image quality for observers with normal or corrected to normal vision, they are not appropriate in the context of low vision. Then an alternate framework is presented in this paper. This framework combines three distinct quality attributes that were identified as important features for the visually impaired in image quality assessment and it has been developed to adapt to the different types of visual pathologies.