Method and system for noise level detection in image data
First Claim
1. A method for determining a noise level of image data, comprising:
- (a) high pass filtering the image data;
(b) determining absolutes values of the high pass filtered image data;
(c) determining a mean value of the absolute values; and
(d) determining, based upon the determined mean value, the noise of the image;
said determining a mean value of the absolute values including,(c1) determining, using a predetermined number of threshold values, multiple mean values of the absolute values, each mean value being calculated using absolutes values less than a predetermined threshold value, and(c2) determining, based upon the determined mean values, an estimated mean value, the estimated mean value being a combination of two of the multiple mean values;
said determining the noise of the image being based upon the determined estimated mean value.
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Abstract
A system determines the noise level of image data by high pass filtering image data. Absolutes values of the high pass filtered image data are determined. Thereafter, multiple mean values for absolute values less than a predetermined number of threshold values are determined. Based upon the determined mean values, a plurality of estimated mean values is calculated, each estimated mean value being calculated from a combination of two determined mean values. The noise of the image is determined from a combination of the minimum estimated mean value and the maximum estimated mean value. This noise can be optionally used by a sigma filter, at Step S740, to sigma filter the image data.
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Citations
18 Claims
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1. A method for determining a noise level of image data, comprising:
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(a) high pass filtering the image data; (b) determining absolutes values of the high pass filtered image data; (c) determining a mean value of the absolute values; and (d) determining, based upon the determined mean value, the noise of the image; said determining a mean value of the absolute values including, (c1) determining, using a predetermined number of threshold values, multiple mean values of the absolute values, each mean value being calculated using absolutes values less than a predetermined threshold value, and (c2) determining, based upon the determined mean values, an estimated mean value, the estimated mean value being a combination of two of the multiple mean values; said determining the noise of the image being based upon the determined estimated mean value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for determining a noise level of image data, comprising:
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a first filter to high pass filter the image data; a mean circuit, operatively connected to said first filter, to determine absolutes values of the high pass filtered image data and to determine a mean value of the absolute values; and a noise level circuit, operatively connected to said mean circuit, to determine, based upon the determined mean value, the noise of the image; said mean circuit determining, using a predetermined number of threshold values, multiple mean values of the absolute values, each mean value being calculated using absolutes values less than a predetermined threshold value, and determines, based upon the determined mean values, an estimated mean value, the estimated mean value being a combination of two of the multiple mean values; said noise level circuit determining the noise of the image being based upon the determined estimated mean value. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification