matlab图像去噪及平滑工具包

【实例简介】
该工具包中包含有一些很常用的图像处理算法，如图像高斯平滑、各项同性高斯平滑、向异性高斯平滑、全变分去噪、加窗傅里叶变换等
【实例截图】
【核心代码】
4744302543419398567.zip
├── license.txt
├── __MACOSX
│   └── toolbox_image
│   ├── html
│   ├── mex
│   ├── tests
│   └── toolbox
└── toolbox_image
├── apply_colormap.m
├── barb.png
├── callback_ti_wavelets.m
├── change_color_mode.m
├── compile_mex.m
├── compute_dead_leaves_image.m
├── compute_directional_kernel.m
├── compute_gabor_filter.m
├── compute_movie_file.m
├── compute_periodic_poisson.m
├── compute_random_patches.m
├── compute_ssim_index.m
├── compute_subwindows_energy.m
├── compute_subwindows_matrix.m
├── compute_texture_patchwork.m
├── compute_total_variation.m
├── content.m
├── display_image_layout.m
├── grab_inpainting_mask.m
├── html
│   ├── content_01.png
│   ├── content_02.png
│   ├── content_03.png
│   ├── content_04.png
│   ├── content_05.png
│   ├── content_06.png
│   ├── content_07.png
│   ├── content_08.png
│   ├── content_09.png
│   ├── content_10.png
│   ├── content_11.png
│   ├── content_12.png
│   ├── content.html
│   ├── content.png
│   ├── gpeyre.xsl
│   └── style.css
├── imageplot.m
├── imagesc_log.m
├── imagesc_std.m
├── lena.png
├── load_hdr.m
├── load_image.m
├── mex
│   ├── config.h
│   ├── perform_adaptive_filtering.cpp
│   ├── perform_adaptive_filtering.def
│   └── perform_adaptive_filtering.vcproj
├── perform_2d_int_translation.m
├── perform_adaptive_filtering.dll
├── perform_adaptive_filtering.mexglx
├── perform_adaptive_filtering.mexmaci
├── perform_bilateral_filtering.m
├── perform_blurring.m
├── perform_directional_filtering.m
├── perform_fast_rbf_interpolation.m
├── perform_image_extension.m
├── perform_image_resize.m
├── perform_image_rotation.m
├── perform_image_similitude.m
├── perform_lic.m
├── perform_local_dct_transform.m
├── perform_median_filtering.m
├── perform_quincunx_interpolation.m
├── perform_shape_smoothing.m
├── perform_tv_correction.m
├── perform_tv_hilbert_projection.m
├── perform_tv_projection.m
├── perform_varying_blurring.m
├── perform_windowed_dct4_transform.m
├── perform_windowed_dct_transform.m
├── perform_windowed_fourier_transform.m
├── perform_windowed_fourier_transform.m~
├── perform_zooming.m
├── publish_html.m
├── read_lum.m
├── readme.txt
├── save_image.m
├── save_image.m~
├── select_region.m
├── select_sub_image.m
├── symmetric_extension.m
├── tests
│   ├── test_adaptive_filtering.m
│   ├── test_analysis_regularization.m
│   ├── test_bilateral.m
│   ├── test_denoising_tv.m
│   ├── test_directional_filtering.m
│   ├── test_hdr_tonemapping.m
│   ├── test_image_rotation.m
│   ├── test_image_similitude.m
│   ├── test_lic.m
│   ├── test_local_dct.m
│   ├── test_movie_making.m
│   ├── test_periodic_laplacian.m
│   ├── test_structure_texture_decomposition.m
│   ├── test_svd_image.m
│   ├── test_tv_projection.m
│   └── test_windowed_fourier_transform.m
├── toolbox
│   ├── callback_atrou.m
│   ├── clamp.m
│   ├── compute_gaussian_filter.m
│   ├── compute_grad.m
│   ├── compute_patch_library.m
│   ├── compute_rigidity_tensor.m
│   ├── compute_structure_tensor.m
│   ├── crop.m
│   ├── div.m
│   ├── getoptions.m
│   ├── grad.m
│   ├── perform_convolution.m
│   ├── perform_dct_transform.m
│   ├── perform_histogram_equalization.m
│   ├── perform_tensor_decomp.m
│   ├── perform_tensor_recomp.m
│   ├── perform_tv_denoising.m
│   ├── perform_vf_integration.m
│   ├── perform_vf_normalization.m
│   ├── plot_tensor_field.m
│   ├── prod_tf_sf.m
│   ├── prod_tf_tf.m
│   ├── prod_tf_vf.m
│   ├── prod_vf_sf.m
│   ├── prod_vf_vf.m
│   ├── progressbar.m
│   ├── psnr.m
│   └── rescale.m
└── write_lum.m

11 directories, 125 files