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Titlebook: Image Quality Assessment of Computer-generated Images; Based on Machine Lea André Bigand,Julien Dehos,Joseph Constantin Book 2018 The Autho

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Monte Carlo Methods for Image Synthesis,camera). Numerous rendering algorithms have been proposed since the 1970s: z-buffer (Catmull, A subdivision algorithm for computer display of curved surfaces. Ph.D. thesis, 1974), ray tracing (Whitted, Commun ACM 23(6):343–349, 1980), radiosity (Goral et al., Modeling the interaction of light betwee
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Full-Reference Methods and Machine Learning,learning machines, like SVMs, are quickly remained and RVMs are presented to deal with this particular IQA case (noise features learning). A recently performed psycho-visual experiment provides psycho-visual scores on some synthetic images (learning database), and comprehensive testing demonstrates
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General Conclusion and Perspectives,chapters (Chaps. . and .). These chapters also present the high-quality images we can obtain with photo-realistic techniques on one hand and the difficulty to obtain a good visual quality assessment (particularly due to the complexity of the algorithms based on Monte Carlo methods) on the other hand
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