HaarPSI
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment
The authors Sebastian Bosse, Gitta Kutyniok, Rafael Reisenhofer, and Thomas Wiegand introduce with the Haar wavelet-based perceptual similarity index (HaarPSI) a novel and easy-to-compute similarity measure for full reference image quality assessment, which in addition achieves higher correlations with human opinion scores than state-of-the-art full reference similarity measures like the structural similarity index (SSIM), the feature similarity index (FSIM), and the visual saliency-based index (VSI). Click on the image below to read the full article!
