Corrupted reference image quality assessment

We propose a foundation for assessing visual quality with “corrupted reference” (CR-QA)-a new quality assessment (QA) paradigm for reasoning about human vision and image restoration problems jointly. The visual quality of a processed image signal is assessed relative to an ideal reference image (not provided) with the help of observed image. This is in contrast to today´s QAs, which are optimized for a “post-hoc” usage (process first, assess quality second) and are unequipped to handle the assessment of the processed data relative to the ideal reference that exist only in theory and not in practice.