Single image defocus map estimation using local contrast prior

Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we present a simple yet effective approach for estimating a defocus blur map based on the relationship of the contrast to the...

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Bibliographic Details
Published in2009 16th IEEE International Conference on Image Processing (ICIP) pp. 1797 - 1800
Main Authors Yu-Wing Tai, Brown, M.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Apertures
Channel bank filters
Diffraction
Filter bank
Frequency estimation
Image quality
Image segmentation
Lenses
Markov random fields
Smoothing methods
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ISBN9781424456536
1424456533
ISSN1522-4880
DOI10.1109/ICIP.2009.5414620

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Summary:Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we present a simple yet effective approach for estimating a defocus blur map based on the relationship of the contrast to the image gradient in a local image region. We call this relationship the local contrast prior. The advantage of our approach is that it does not require filter banks or frequency decomposition of the input image; instead we only need to compare local gradient profiles with the local contrast. We discuss the idea behind the local contrast prior and demonstrate its effectiveness on a variety of experiments.
ISBN:9781424456536
1424456533
ISSN:1522-4880
DOI:10.1109/ICIP.2009.5414620