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Objective quality assessment of digital holograms has proven to be achallenging task. While prediction of perceptual quality of the recorded 3Dcontent from the holographic wavefield is an open problem; perceptual qualityassessment from content after rendering, requires a time-consuming renderingstep and a multitude of possible viewports. In this research, we use 96 Fourierholograms of the recently released HoloDB database to evaluate the performanceof well-known and state-of-the-art image quality metrics on digital holograms.We compare the reference holograms with their distorted versions: (i) beforerendering on the real and imaginary parts of the quantized complex-wavefield,(ii) after converting Fourier to Fresnel holograms, (iii) after rendering, onthe quantized amplitude of the reconstructed data, and (iv) after subsequentlyremoving speckle noise using a Wiener filter. For every experimental track, thequality metric predictions are compared to the Mean Opinion Scores (MOS)gathered on a 2D screen, light field display and a holographic display.Additionally, a statistical analysis of the results and a discussion on theperformance of the metrics are presented. The tests demonstrate that while foreach test track a few quality metrics present a highly correlated performancecompared to the multiple sets of available MOS, none of them demonstrates aconsistently high-performance across all four test-tracks.

Comprehensive Performance Analysis of Objective Quality Metrics for Digital Holography