From Sparse Coding Significance to Perceptual Quality: A New Approach for Image Quality Assessment Vrije Universiteit Brussel
An increasing number of image processing applications require an automated quality prediction of the visual content as perceived by humans. Since, sparse coding is suggested to be an underlying strategy of the brain's neural system, it would be logical to assume that specific tasks like quality assessment also attempt to adhere to this strategy. However, existing perceptual quality predictors, often mimicking the different stages of the human ...