A good image model eases restoration - on the contribution of Rudin-Osher-Fatmi's BV image model
2002-02
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A good image model eases restoration - on the contribution of Rudin-Osher-Fatmi's BV image model
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2002-02
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What we believe images are determines how we take actions in image and low-level vision analysis. In the Bayesian framework, it is known as the importance of a good image prior model. This paper intends to give a concise overview on the vision foundation, mathematical theory, computational algorithms, and various classical as well as unexpected new applications of the BV (bounded variation) image model, first introduced into image processing by Rudin, Osher, and Fatemi in 1992 [Physica D, 60:259-268].
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Chan, Tony F.; Shen, Jianhong. (2002). A good image model eases restoration - on the contribution of Rudin-Osher-Fatmi's BV image model. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/3720.
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