Paper
14 August 2019 Rendering circular depth of field effect with integral image
Yang Yang, Yanhong Peng, Lanling Zeng, Yan Zhao, Fuchang Liu
Author Affiliations +
Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111792X (2019) https://doi.org/10.1117/12.2540174
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
In this paper, we propose a novel method to achieve efficient rendering of circular depth of field (DOF) effects. Like most of the existing work, we model the task of DOF rendering as the problem of filtering with spatial-varying circular kernels. To avoid direct calculation which is extremely computationally expensive, we approximate the circular kernels with multiple square kernels tilting at different angles. Integral images are then applied to speed up the task of filtering with square kernels. In order to avoid the problem of intensity leakage and edge discontinuity, not only the integral parts, but also the fractional parts of the disparity are considered in calculating the spatial-varying kernel sizes, i.e., the radii of the circles of confusion (COC). Finally, the circular depth of field effect is derived by combining the results of filtering with square kernels at different angles. Experimental results suggest that the proposed method could produce realistic DOF effects with decent running time.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Yang, Yanhong Peng, Lanling Zeng, Yan Zhao, and Fuchang Liu "Rendering circular depth of field effect with integral image", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792X (14 August 2019); https://doi.org/10.1117/12.2540174
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KEYWORDS
Image filtering

Digital filtering

Image processing

Photography

Convolution

Cameras

Lens design

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