1.1k citations · 2.6k across the 12 of their papers we have counts for
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cs.CV2016★ 1.1k cited
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller +2
We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers…
cs.CV2016★ 324 cited
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment
Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok +1
In most practical situations, the compression or transmission of images and videos creates distortions that will eventually be perceived by a human observer. Vice versa, image and…