Image analysis – Image enhancement or restoration – Image filter
Reexamination Certificate
2008-06-20
2011-12-20
Werner, Brian (Department: 2624)
Image analysis
Image enhancement or restoration
Image filter
C382S260000
Reexamination Certificate
active
08081836
ABSTRACT:
The current invention describes a method for filtering an input image with a bilateral filter to produce an output image. The bilateral filter includes a spatial filter and a range filter. The method comprising the steps of: constructing an integral histogram from an input image including pixels, and wherein each pixel has an intensity; applying, for each pixel, the spatial filter to the integral histogram to produce a local histogram, each local histogram having a bin for a specified range of intensities of the pixels, each bin associated with a coefficient indicating a number of pixels in the specified range and an index to the coefficient; subtracting, for each bin in each local histogram, an intensity of the pixel from each index of the bin to produce a difference value; applying, for each bin, the range filter to each difference value to produce a response; scaling, each response by the corresponding coefficient to produce a scaled response; summing, for each local histogram, the scaled responses to produce a local response for the local histogram; summing, for each local histogram, the coefficients to produce a sum of the coefficient; and dividing, for each pixel, the local response by the sum of the coefficients to produce a response for the bilateral filter, which forms an output image.
REFERENCES:
patent: 2006/0177131 (2006-08-01), Porikli
patent: 2008/0298680 (2008-12-01), Miller et al.
Weiss, “Fast median and bilateral filtering,” Proc. SIGGRAPH, pp. 519-526 2006.
Porikli, “Integral histogram: A fast way to extract histograms in Cartesian spaces,” Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
Brinkman Dirk
Mitsubishi Electric Research Laboratories Inc.
Patel Nirav G
Vinokur Gene
Werner Brian
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