A Cartoon-Texture Decomposition Based Multiplicative Noise Removal Method
نویسندگان
چکیده
منابع مشابه
Cartoon+Texture Image Decomposition
The algorithm first proposed in [3] stems from a theory proposed by Yves Meyer in [1]. The cartoon+texture algorithm decomposes any image f into the sum of a cartoon part, u , where only the image contrasted shapes appear, and a textural v part with the oscillating patterns. Such a decomposition f=u+v is analogous to the classical signal processing low pass-high pass filter decomposition. Howev...
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This paper studies algorithms for decomposing a real image into the sum of cartoon and texture based on total variation minimization and secondorder cone programming (SOCP). The cartoon is represented as a function of bounded variation while texture (and noise) is represented by elements in the space of oscillating functions, as proposed by Yves Meyer. Our approach gives more accurate results t...
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This paper proposes a framelet based convex optimization model for multiplicative noise and blur removal problem. The main idea is to employ framelet expansion to represent the original image and use the variable decomposition to solve the problem. Because of the nature of multiplicative noise, we decompose the observed data into the original image variable and the noise variable to obtain the ...
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We present in this article a detailed analysis and implementation of the cartoon+texture decomposition algorithm proposed in [A. Buades, J.L. Lisani, “Directional filters for color cartoon + texture image and video decomposition”, Journal of Mathematical Imaging and Vision, 2015]. This method follows the approach proposed by [A. Buades, T. Le, J-M. Morel, L. Vese, “Cartoon+Texture Image Decompo...
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Sparse approximation has shown to be a significant tool in improving image restoration quality, assuming that the targeted images can be approximately sparse under some transform operators. However, it is impossible for a fixed system to be always optimal for all the images. In this paper, we present an adaptive wavelet tight frame technology for sparse representation of an image with multiplic...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2016
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2016/5130346