Real-time Image Enhancement Using Edge-Optimized a-trous Wavelets thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Real-time Image Enhancement Using Edge-Optimized a-trous Wavelets

Published on Jan 23, 20126043 Views

Edge-avoiding a-trous wavelets (EAAW) offer an elegant and simple way for advanced real-time image smoothing and contrast enhancement. Based on the bilateral filter, edge-avoiding wavelets perform mul

Related categories

Chapter list

Real-time Image Enhancement Using Edge-Optimized À-trous Wavelets00:00
Overview00:31
Edge-Avoiding À-Trous Wavelet Transform for fast Global Illumination Filtering - 101:05
Edge-Avoiding À-Trous Wavelet Transform for fast Global Illumination Filtering - 201:58
Edge-Avoiding À-Trous Wavelet Transform for fast Global Illumination Filtering - 302:25
Input to our System03:17
Pipeline03:50
Decimating Wavelet Transform - 104:42
Decimating Wavelet Transform - 205:46
Decimating Wavelet Transform - 306:01
Decimating Wavelet Transform - 406:09
Undecimated Transform06:25
À-Trous Wavelet Transform - 107:14
À-Trous Wavelet Transform - 208:03
À-Trous Wavelet Transform - 308:09
À-Trous Wavelet Transform - 408:28
À-Trous Wavelet Filtering09:10
Edge-Stopping Function09:48
Input10:28
Level 010:36
Level 110:47
Level 210:51
Comparison to Other Wavelet Bases - 111:00
Comparison to Other Wavelet Bases - 211:36
Comparison to Other Wavelet Bases - 312:13
Constrast Enhancement13:15
Optimizing the Edge Weights13:58
Edge Optimization - 115:11
Edge Optimization - 216:22
Edge Optimization – Detail Layer16:51
Denoising by Shrinkage17:19
Denoising - 118:15
Denoising - 218:41
Young and Old18:58
Edge-Optimized À-Trous Wavelets – Contrast Enhancement19:38
Edge-Optimized À-Trous Wavelets – Smoothing19:47
Comparison – Contrast Enhancement 2.5x19:59
Comparison – Contrast Enhancement 3.5x20:35
Benefits of Edge-Optimized À-Trous Wavelets20:40
Monocular Depth Cues from Stereo Cameras21:07
Miniaturization using virtual tilt-shift21:54
Original (left eye)22:10
Guiding the User’s Focus22:39
Monocular Depth Cues23:46
Edge-optimized Wavelet – Pipeline24:41
Cleaning up the Depth Map25:38
Interpolation of Missing Values26:17
Cross-Bilateral Wavelet Filtering26:37
Depth-dependent Local Contrast Enhancement26:55
Input - 127:17
Unsharp Masking the Depth Buffer + Local Contrast Enhancement27:27
Input - 227:52
Depth-dependent Color Saturation28:01
User Study28:17
User Study – Experiment 128:51
Experment 1 - Results29:14
Experiment 229:45
Experiment 2 - Results30:11
Depth of Field Rendering30:29
Edge-Optimized Wavelets31:14
Thank you!32:17