Perceptual Quality of Light Field Images and Impact of Visualization Techniques

Abstract

Light Field imaging provides a wide range of interactive features, such as view point changing and refocusing, and it has been developing as a solution for six degree of freedom applications. Many ongoing efforts, specifically related to pre/post processing, compression, and rendering, have been devoted to the development of this technology. To benchmark processing algorithms, the knowledge of degraded or improved quality level is important. However, the definition of validated subjective and objective quality assessment methods is still an open and challenging issue. In this scenario, this contribution deals with: the impact of visualization techniques on Light Filed image Quality of Experience, a visualization technique recommended for subjective quality assessment, perceptual visual impact of compression and noise artifacts, performance analysis of 2D image quality measures applied to Light Field images, and a Light Field image quality dataset.