Simultaneous out-of-focus blur estimation and restoration for digital auto-focusing system
IEEE Transactions on Consumer Electronics
Reliability measure for shape-from-focus
Image and Vision Computing
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In all-in-focus imaging, a series of photographs taken of the same objects, on different focal planes, are analyzed to create an entirely in-focus final image. Edge detection techniques determined by variable thresholds are applied to the 512x512 input images and they are then progressively subdivided into smaller, 2N sized blocks, varying in size from 256x256 pixels down to 1x1 pixel. The 1x1 blocks are used to determine actual edges and the areas around them are then filled with progressively larger block sizes. The particular image that is most in-focus over a given region is determined by comparing the sums of edge pixels for the corresponding blocks of the different input images. Beyond aesthetic value, all-in-focus imaging may be used in applications ranging from pattern recognition and object detection to biometrics. We have successfully detected in-focus regions in an image and have generated final, all-in-focus images with only minor errors.