科研之友
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摘要
We are interested in a spatial-temporal variational model for image sequences. The model involves a fitting data term adapted to different modalities, such as denoising, deblurring, or emission tomography. The regularizing term acts as an infimal-convolution type operator that takes into account the respective influence of space and time variables in a separate mode. We give existence and uniqueness results and provide optimality conditions via duality analysis.
- 出版日期2018
