Abstract
Bokeh, a sought-after photo rendering style of out-of-focus blur, typically aims at an aesthetic quality which is not available to low-end consumer grade cameras due to the lens design. We present a bokeh simulation method using stereo-vision techniques. We refine a depth map obtained with stereo matching with a little user interaction. A depth-aware bokeh effect is then applied with user-adjustable apertures sizes or shapes. Our method mainly aims at the visual quality of the bokeh effect rather than time efficiency. Experiments show that our results are natural-looking, and can be similar to the bokeh effect of a real-world bokeh-capable camera system.
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Liu, D., Nicolescu, R., Klette, R. (2015). Bokeh Effects Based on Stereo Vision. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_17
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DOI: https://doi.org/10.1007/978-3-319-23192-1_17
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