hli1221/imagefusion_noisy_lrr

multi-focus image fusion using low-rank representation

Multi-focus Noisy Image Fusion using Low-Rank Representation

arXiv

The framework for fusion method

DWT for level 2

NSCT for level 2

The framework

Fusion high frequency

Original images

Noise images with multi-focus

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}}
  }