Title :
Automatic foreground-background refocusing
Author :
Loktyushin, Alexander ; Harmeling, Stefan
Author_Institution :
Max Planck Inst. for Biol. Cybern., Tubingen, Germany
Abstract :
A challenging problem in image restoration is to recover an image with a blurry foreground. Such images can easily occur with modern cameras, when the auto-focus aims mistakenly at the background (which will appear sharp) instead of the foreground, where usually the object of interest is. In this paper we propose an automatic procedure that (i) estimates the amount of out-of-focus blur, (ii) segments the image into foreground and background incorporating clues from the blurriness, (iii) recovers the sharp foreground, and finally (iv) blurs the background to refocus the scene. On several real photographs with blurry foreground and sharp background, we demonstrate the effectiveness and limitations of our method.
Keywords :
image restoration; image segmentation; natural scenes; self-focusing; automatic foreground-background refocusing; blurry foreground image; blurry foreground photographs; image recovery; image restoration; image segmentation; out-of-focus blur estimation; scene refocusing; sharp background photographs; sharp foreground recovery; Cepstrum; Channel estimation; Deconvolution; Histograms; Image segmentation; Kernel; Image decomposition; Image enhancement; Image processing; Image restoration; Image segmentation;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116453