Title :
Single image defocus map estimation using local contrast prior
Author :
Tai, Yu-Wing ; Brown, Michael S.
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Abstract :
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.
Keywords :
image restoration; image segmentation; blur magnification; defocus blur map; depth of field segmentation; image defocus map estimation; image quality measurement; local contrast prior; Apertures; Channel bank filters; Diffraction; Filter bank; Frequency estimation; Image quality; Image segmentation; Lenses; Markov random fields; Smoothing methods;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414620