Prospect of Stein's Unbiased Risk Estimate as Objective Function for Parameter Optimization in Image Denoising Algorithms - A Case Study on Gaussian Smoothing Kernel

Simi V. Renuka, Damodar Reddy Edla, Justin Joseph, Venkatanareshbabu Kuppili. Prospect of Stein's Unbiased Risk Estimate as Objective Function for Parameter Optimization in Image Denoising Algorithms - A Case Study on Gaussian Smoothing Kernel. In International Conference on Data Science and Engineering, ICDSE 2019, Patna, India, September 26-28, 2019. pages 149-153, IEEE, 2019. [doi]

@inproceedings{RenukaEJK19-0,
  title = {Prospect of Stein's Unbiased Risk Estimate as Objective Function for Parameter Optimization in Image Denoising Algorithms - A Case Study on Gaussian Smoothing Kernel},
  author = {Simi V. Renuka and Damodar Reddy Edla and Justin Joseph and Venkatanareshbabu Kuppili},
  year = {2019},
  doi = {10.1109/ICDSE47409.2019.8971487},
  url = {https://doi.org/10.1109/ICDSE47409.2019.8971487},
  researchr = {https://researchr.org/publication/RenukaEJK19-0},
  cites = {0},
  citedby = {0},
  pages = {149-153},
  booktitle = {International Conference on Data Science and Engineering, ICDSE 2019, Patna, India, September 26-28, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-2087-4},
}