# imagefusion_noisy_lrr **Repository Path**: hli1221/imagefusion_noisy_lrr ## Basic Information - **Project Name**: imagefusion_noisy_lrr - **Description**: multi-focus image fusion using low-rank representation - **Primary Language**: Matlab - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-05-01 - **Last Updated**: 2022-05-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: image-fusion, low-rank ## README # Multi-focus Noisy Image Fusion using Low-Rank Representation [arXiv](https://arxiv.org/abs/1804.09325) ## The framework for fusion method ### DWT for level 2 ![](https://github.com/hli1221/imagefusion_noisy_lrr/blob/master/framework/dwt_images.png) ### NSCT for level 2 ![](https://github.com/hli1221/imagefusion_noisy_lrr/blob/master/framework/dec_nsct.png) ### The framework ![](https://github.com/hli1221/imagefusion_noisy_lrr/blob/master/framework/framework.png) ### Fusion high frequency ![](https://github.com/hli1221/imagefusion_noisy_lrr/blob/master/framework/fs_lrr.png) ### Original images ![](https://github.com/hli1221/imagefusion_noisy_lrr/blob/master/framework/original_images.png) ### Noise images with multi-focus ![](https://github.com/hli1221/imagefusion_noisy_lrr/blob/master/framework/nosie_example.png) ## Figures 1 original_images 2 mf_noise_images ---- multi-focus images contain different noises 3 focus_images ---- sources images ## Source code 1 main.m --- test demo. 2 'methods' - multi-scale transform frameworks 3 The code of LRR in 'lrr' solve_lrr.m solve_l1l2.m inexact_alm_lrr_l1l2.m, inexact_alm_lrr_l1.m exact_alm_lrr_l1l2.m, exact_alm_lrr_l1.m ## LRR parts Thr LRR method is proposed by Guangcan Liu in 2010. "Liu G, Lin Z, Yu Y. Robust Subspace Segmentation by Low-Rank Representation[C]// International Conference on Machine Learning. DBLP, 2010:663-670." And we just use this method in our paper without change. # Citation For codes: ``` @misc{li2017noisyimagefusion, author = {Hui Li}, title = {CODE: Multi-focus Noisy Image Fusion using Low-Rank Representation}, year = {2017}, note = {\url{https://github.com/hli1221/imagefusion_noisy_lrr}} } ```