A New Spatial Hue Angle Metric for Perceptual Image Difference
Computational Color Imaging
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An SVD-based grayscale image quality measure for local and global assessment
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
Full-Reference Image Quality Metrics: Classification and Evaluation
Foundations and Trends® in Computer Graphics and Vision
Spatial pooling for measuring color printing quality attributes
Journal of Visual Communication and Image Representation
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New technology is continuously proposed in the printing technology, and as a result the need to perform quality assessment is increasing. Subjective assessment of quality is tiresome and expensive, the use of objective methods have therefore become more and more popular. One type of objective assessment that has been subject for extensive research is image quality metrics. However, so far no one has been able to propose a metric fully correlated with the percept. Pedersen et al. (J Elec Imag 19(1):011016, 2010) proposed a set of quality attributes with the intention of being used with image quality metrics. These quality attributes are the starting point for this work, where we evaluate image quality metrics for them, with the goal of proposing suitable metrics for each quality attribute. Experimental results show that suitable metrics are found for the sharpness, lightness, artifacts, and contrast attributes, while none of the evaluated metrics correlate with the percept for the color attribute.