Efficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-Spanning-Tree
Traditionally, image processing based on Markov Random Field (MRF) is often addressed on a 4-connected grid graph defined on the image. This structure is not computationally efficient. In our work, we develop a multiple-trees structure to approximate the
|Collections||ANU Research Publications|
|Source:||International Conference on Image and Graphics (ICIG 2011) proceedings|
|01_Sun_Efficient_Image_Denoising_by_2011.pdf||453.12 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.