Algorithms for Non-Local Filtering - Application Cryo-Electron and Biological Microscopy

Explore efficient algorithms for non-local filtering and their applications in cryo-electron and biological microscopy in this comprehensive lecture. Delve into the implementation of the Non-Local Means Denoising method, learning about its fast parallel and vectorized implementation for shared memory computer architectures. Discover how this approach reduces computational complexity and scales linearly with image size. Examine the problem of detecting and modeling essential features in biological images, and learn about a variational energy minimization formulation for extracting noise and texture. Understand how image decomposition simplifies further processing, particularly for image registration. Investigate the combination of algorithms from combinatorial optimization and computational geometry that enable fast solutions at near-interactive rates. Witness practical demonstrations of these techniques on large histology mouse brain images, showcasing the creation of faithful and sparse triangulation models with significantly reduced pixel counts.