total variation norm

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Total variation norm is commonly used to make the visual data more local smooth. 

1)  definition

For matrices, the TV norm is defined as 

技术图片

where 

技术图片

 

For multidimensional data, the TV norm can be given by

技术图片

2) algorithm (primal-dual gradient algorithm)

 basis:

技术图片

 

the general inpainting problem with TV norm model:

 技术图片

 the dual expression of TV norm can be represened as

   技术图片

Then the inpainting problem (2) can be tackled by solving the following minmax problem.

 技术图片

 

 

 

 

 reference 

 1] Zhu M, Chan T. An efficient primal-dual hybrid gradient algorithm for total variation image restoration[J]. UCLA CAM Report, 2008, 34.

 2] Ye X, Zhou H. FAST TOTAL VARIATION WAVELET INPAINTING VIA APPROXIMATED PRIMAL-DUAL HYBRID GRADIENT ALGORITHM[J]. Inverse Problems & Imaging, 2013, 7(3).

3]  Zhang B, Zhu Z, Xu C. A primal-dual multiplier method for total variation image restoration[J]. Applied Numerical Mathematics, 2019.

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