Academic literature on the topic 'Hessian-Schatten Regularization'

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Journal articles on the topic "Hessian-Schatten Regularization"

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Lefkimmiatis, Stamatios, John Paul Ward, and Michael Unser. "Hessian Schatten-Norm Regularization for Linear Inverse Problems." IEEE Transactions on Image Processing 22, no. 5 (2013): 1873–88. http://dx.doi.org/10.1109/tip.2013.2237919.

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Lefkimmiatis, Stamatios, and Michael Unser. "Poisson Image Reconstruction With Hessian Schatten-Norm Regularization." IEEE Transactions on Image Processing 22, no. 11 (2013): 4314–27. http://dx.doi.org/10.1109/tip.2013.2271852.

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Ghulyani, Manu, Deepak G. Skariah, and Muthuvel Arigovindan. "Generalized Hessian-Schatten norm regularization for image reconstruction." IEEE Access, 2022, 1. http://dx.doi.org/10.1109/access.2022.3177277.

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Dissertations / Theses on the topic "Hessian-Schatten Regularization"

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Viswanath, Sanjay. "Spatially Adaptive Regularization for Image Restoration." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5646.

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Image restoration/reconstruction refers to the estimation of an underlying image from measurements generated by imaging devices. This problem is generally ill-posed since the measurements are corrupted by the physical limitations of the imaging device, and the inherent noise involved in the measurement process. There are three main classes of methods in the current literature. The first class of methods is based on regularization framework that enforces an ad-hoc prior on the restored image. The second class of methods uses regression-based learning paradigms, where a training set of cle
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Conference papers on the topic "Hessian-Schatten Regularization"

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Lefkimmiatis, Stamatios, and Michael Unser. "3D Poisson microscopy deconvolution with Hessian Schatten-norm regularization." In 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013). IEEE, 2013. http://dx.doi.org/10.1109/isbi.2013.6556437.

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Li, Xinxin, Jiang Wang, and Shan Tan. "Hessian Schatten-norm regularization for CBCT image reconstruction using fast iterative shrinkage-thresholding algorithm." In SPIE Medical Imaging, edited by Christoph Hoeschen, Despina Kontos, and Thomas G. Flohr. SPIE, 2015. http://dx.doi.org/10.1117/12.2082424.

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