Fast Bokeh effects using low-rank linear filters
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| 024 | 7 | 0 | |a 10.1007/s00371-014-0986-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00371-014-0986-6 | ||
| 100 | 1 | |a McGraw |D Tim |u Purdue University, West Lafayette, USA |4 aut | |
| 245 | 1 | 0 | |a Fast Bokeh effects using low-rank linear filters |h [Elektronische Daten] |c [Tim McGraw] |
| 520 | 3 | |a We present a method for faster and more flexible approximation of camera defocus effects given a focused image of a virtual scene and depth map. Our method leverages the advantages of low-rank linear filtering by reducing the problem of 2D convolution to multiple 1D convolutions, which significantly reduces the computational complexity of the filtering operation. In the case of rank 1 filters (e.g., the box filter and Gaussian filter), the kernel is described as ‘separable' since it can be implemented as a horizontal 1D convolution followed by a 1D vertical convolution. While many filter kernels which result in bokeh effects cannot be approximated closely by separable kernels, they can be effectively approximated by low-rank kernels. We demonstrate the speed and flexibility of low-rank filters by applying them to image blurring, tilt-shift postprocessing, and depth-of-field simulation, and also analyze the approximation error for several aperture shapes. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Bokeh |2 nationallicence | |
| 690 | 7 | |a Blur |2 nationallicence | |
| 690 | 7 | |a Filter |2 nationallicence | |
| 690 | 7 | |a Depth-of-field |2 nationallicence | |
| 773 | 0 | |t The Visual Computer |d Springer Berlin Heidelberg |g 31/5(2015-05-01), 601-611 |x 0178-2789 |q 31:5<601 |1 2015 |2 31 |o 371 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00371-014-0986-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00371-014-0986-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 100 |E 1- |a McGraw |D Tim |u Purdue University, West Lafayette, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t The Visual Computer |d Springer Berlin Heidelberg |g 31/5(2015-05-01), 601-611 |x 0178-2789 |q 31:5<601 |1 2015 |2 31 |o 371 | ||