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2D and 3D Multiscale Geometric Transforms
Published on Jan 23, 20125390 Views
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Chapter list
To Be Announced00:00
Audience´s Choice00:28
2D and 3D Multiscale Geometric Transforms01:35
What is a good sparse representation for data?01:43
Local DCT / Wavelet transform / Curvelet transform01:58
Morphological Diversity02:40
Wavelets and edges03:36
SNR = 0.1 - 104:18
SNR = 0.1 - 204:30
Undecimated Wavelet Filtering (3 sigma)04:56
Ridgelet Filtering (5sigma)05:05
Continuous Ridgelet Transform05:41
The ridgelet coefficients of an object f are given by analysis06:02
Ridgelet Transform06:54
Local Ridgelet Transform07:17
Poisson Noise and Line-Like Sources Restoration (MS-VST + Ridgelet)07:51
The Curvelet Transform (CUR01)08:15
NGC299709:08
Undecimated Isotropic WT09:10
Partitioning09:16
The Fast Curvelet Transform09:21
The Curvelet Transform10:01
Contrast Enhancement Using The Curvelet Transform10:10
Contrast Enhancement - 211:11
Contrast Enhancement - 111:13
Deconvolution11:21
3D Multiscale Geometric Transforms11:56
3D Wavelets12:10
3D extension of Curvelet12:21
3D beamlet transform12:42
Discrete 3D Beamlet transform13:43
Discrete 3D BeamCurvelet transform14:15
3D BeamCurvelets - 114:54
3D BeamCurvelets - 215:01
3D ridgelet transform15:29
3D Discrete ridgelet transform15:45
Discrete 3D RidCurvelet transform16:16
3D RidCurvelets16:28
Denoising16:31
3D Plane detection level17:02
3D Line detection level17:38
Combined denoising17:52
Combined denoising results - 118:19
Combined denoising results - 218:26
Fast second generation 3D curvelets - 118:55
Fast second generation 3D curvelets - 219:33
Fast second generation 3D curvelets - 320:35
Fast second generation 3D curvelets - 420:39
Example: denoising20:57
Example: video denoising21:22
Example: hyperspectral data denoising21:41
Sparse component separation21:54
Results22:32
Inpainting - 123:23
Inpainting - 223:48
Inpainting - 324:06
Inpainting - 424:21
Inpainting - 524:25
Conclusions24:34