Ke Jin, Shunfeng Wang*
Journal on Internet of Things, Vol.2, No.1, pp. 1-11, 2020, DOI:10.32604/jiot.2020.09071
- 06 August 2020
Abstract In recent years, image restoration has become a huge subject, and
finite hybrid model has been widely used in image denoising because of its easy
modeling and strong explanatory results. The gaussian mixture model is the most
common one. The existing image denoising methods usually assume that each
component of the natural image is subject to the gaussian mixture model (GMM).
However, this approach is not entirely reasonable. It is well known that most
natural images are complex and their distribution is not entirely gaussian. As a
result, there are still many problems that GMM More >
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