Automatic synthetic background defocus for a single portrait image

Capturing image with defocused background by using a large aperture is a widely used technique in digital single-lens reflex (DSLR) camera photography. It is also desired to provide this function to smart phones. In this paper, a new algorithm is proposed to synthesize such an effect for a single po...

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Bibliographic Details
Published inIEEE transactions on consumer electronics Vol. 63; no. 3; pp. 234 - 242
Main Authors Chen, Weihai, Kou, Fei, Wen, Changyun, Li, Zhengguo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Algorithms
Cameras
Face
Gradient domain guided image filter
Image detection
Image edge detection
Image enhancement
Image segmentation
Mobile handsets
Object detection
Object recognition
Photography
salient object detection
Single lens reflex
Smartphones
synthetic defocus
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Summary:Capturing image with defocused background by using a large aperture is a widely used technique in digital single-lens reflex (DSLR) camera photography. It is also desired to provide this function to smart phones. In this paper, a new algorithm is proposed to synthesize such an effect for a single portrait image. The foreground portrait is detected using a face prior based salient object detection algorithm. Then with an improved gradient domain guided image filter, the details in the foreground are enhanced while the background pixels are blurred. In this way, the background objects are defocused and thus the foreground objects are emphasized. The resultant image looks similar to image captured using a camera with a large aperture. The proposed algorithm can be adopted in smart phones, especially for the front cameras of smart phones.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2017.014952