图像超分辨率重建matlab源码
超分辨率图像处理 从几幅图象中提取像素合成新的比较清晰的图像-super-resolution image processing images from pieces of pixels from the synthesis of new clearer images
文件列表(点击判断是否您需要的文件):
superresolution_v_2.0
.....................\.DS_Store
.....................\application
.....................\...........\.DS_Store
.....................\...........\applicability.m
.....................\...........\c2p.m
.....................\...........\Contents.m
.....................\...........\create_images.m
.....................\...........\estimate_motion.m
.....................\...........\estimate_rotation.m
.....................\...........\estimate_shift.m
.....................\...........\generatePSF.m
.....................\...........\generation.fig
.....................\...........\generation.m
.....................\...........\gpl
.....................\...........\html
.....................\...........\....\.DS_Store
.....................\...........\....\SR_about.html
.....................\...........\....\SR_documentation.html
.....................\...........\interpolation.m
.....................\...........\iteratedbackprojection.m
.....................\...........\keren.m
.....................\...........\keren_shift.m
.....................\...........\logo_epfl_small.tif
.....................\...........\logo_warning.tif
.....................\...........\lowpass.m
.....................\...........\lucchese.m
.....................\...........\marcel.m
.....................\...........\marcel_shift.m
.....................\...........\n_conv.m
.....................\...........\n_convolution.m
.....................\...........\papoulisgerchberg.m
.....................\...........\pocs.m
.....................\...........\robustnorm2.m
.....................\...........\robustSR.m
.....................\...........\shift.m
.....................\...........\SR_about.m
.....................\...........\SR_documentation.m
.....................\...........\superresolution.fig
.....................\...........\superresolution.m
2024-04-28 12:33:48
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