Real-time Image Enhancement Using Edge-Optimized a-trous Wavelets
published: Jan. 23, 2012, recorded: December 2011, views: 662
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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 multi-resolution analysis. By optimizing the edge weights to match the edge shape at every scale contrast enhancement can be obtained without the typically encountered artifacts of halos or gradient reversals. We demonstrate examples of real-time aging, as well as smooth reconstruction of noisy Monte Carlo simulations. In addition, an edge-avoiding wavelet framework is presented to emphasize monocular depth cues in 2D images captured with a stereo camera. We demonstrate that these enhanced depth cues can aid the human in 3D search tasks on traditional monitors without degenerating the image.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !