文件名称:NBSR_TIP12
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2015-02-26
- 文件大小:
- 616kb
- 下载次数:
- 0次
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- 相关连接:
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- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
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基于贝叶斯的超分辨率图像处理代码,原文发表于2012年-super-resolution image processing code based on Bayesian , originally paper was published in 2012
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下载文件列表
NBSR_TIP12\BI_PSNR23.7116_SSIM0.76588.bmp
..........\ChangeLog.txt
..........\demo_super_resolution.asv
..........\demo_super_resolution.m
..........\demo_super_resolution_color.m
..........\GT.bmp
..........\images\1.bmp
..........\......\2.bmp
..........\......\bar_cut.png
..........\......\boat_cut.png
..........\......\cam_cut.png
..........\......\couple_cut.png
..........\......\hill_cut.png
..........\......\house_cut.png
..........\......\lena_cut.png
..........\......\peppers_cut.png
..........\Iter1.bmp
..........\Iter2.bmp
..........\LR.bmp
..........\NBSR_core\+learned_models\cvpr_3x3_foe.m
..........\.........\...............\cvpr_pw_mrf.m
..........\.........\.pml\+distributions\@foe\energy.m
..........\.........\....\..............\....\eval.m
..........\.........\....\..............\....\foe.m
..........\.........\....\..............\....\log_grad_x.m
..........\.........\....\..............\....\unnorm.m
..........\.........\....\..............\.gsm\em.m
..........\.........\....\..............\....\eval.m
..........\.........\....\..............\....\gsm.m
..........\.........\....\..............\....\log_grad_weights.m
..........\.........\....\..............\....\log_grad_x.m
..........\.........\....\..............\....\sample.m
..........\.........\....\..............\....\test\test_all.m
..........\.........\....\..............\....\....\test_density.m
..........\.........\....\..............\....\....\test_ho_derivatives.m
..........\.........\....\..............\....\z_distribution.m
..........\.........\....\..............\...._foe\cd.m
..........\.........\....\..............\........\energy_grad_J_tilde.m
..........\.........\....\..............\........\energy_grad_weights.m
..........\.........\....\..............\........\gsm_foe.m
..........\.........\....\..............\........\log_grad_theta.m
..........\.........\....\..............\........\private\estimator_helper.m
..........\.........\....\..............\........\sample_x.m
..........\.........\....\..............\........\sample_z.m
..........\.........\....\..............\........\test\test_density.m
..........\.........\....\..............\........\....\test_filter.m
..........\.........\....\..............\........\....\test_learning.m
..........\.........\....\..............\........\....\test_sampling.m
..........\.........\....\..............\........\z_distribution.m
..........\.........\....\..............\.....pairwise_mrf\cd.m
..........\.........\....\..............\.................\fit_precision.m
..........\.........\....\..............\.................\gsm_pairwise_mrf.m
..........\.........\....\..............\.................\log_grad_log_weights.m
..........\.........\....\..............\.................\private\estimator_helper.m
..........\.........\....\..............\.................\test\test_density.m
..........\.........\....\..............\.................\....\test_learning.m
..........\.........\....\..............\.................\....\test_statistics.m
..........\.........\....\..............\.pairwise_mrf\pairwise_mrf.m
..........\.........\....\..............\density.m
..........\.........\....\..............\distribution.m
..........\.........\....\.image_proc\convmtxn.m
..........\.........\....\...........\imfiltermtx.m
..........\.........\....\...........\make_convn_mat.m
..........\.........\....\...........\make_imfilter_mat.m
..........\.........\....\...........\psnr.m
..........\.........\....\...........\ssim_index.m
..........\.........\Eval\my_psnr.m
..........\.........\....\ssim_index.m
..........\.........\get_img_sz.m
..........\.........\my_conv2.m
..........\.........\NBSR.p
..........\.........\obs_for_SR.m
..........\NN_PSNR23.0471_SSIM0.72197.bmp
..........\README.txt
..........\NBSR_core\+pml\+distributions\@gsm\test
..........\.........\....\..............\...._foe\private
..........\.........\....\..............\........\test
..........\.........\....\..............\.....pairwise_mrf\private
..........\.........\....\..............\.................\test
..........