Paper
15 October 2012 Image restoration based on topological properties of functions of two variables
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Abstract
Image restoration refers to the problem of estimating an ideal image from its observed degraded one. Functions of two variables can be well described with two variations. One of them is a total variation for continuously differentiable functions. Another one is called a linear variation. The linear variation is a topological characteristic of a function of two variables whereas the total variation is a metrical characteristic of a function. A restoration algorithm based on both total variation-based regularization and variations is proposed. Computer simulation results illustrate the performance of the proposed algorithm for restoration of blurred images.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Artyom Makovetskii and Vitaly Kober "Image restoration based on topological properties of functions of two variables", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84990A (15 October 2012); https://doi.org/10.1117/12.928944
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Cited by 6 scholarly publications.
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KEYWORDS
Image restoration

Computer simulations

Binary data

Quantization

Chemical elements

Image analysis

Matrices

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