Methods and Systems for Image Noise Processing
First Claim
Patent Images
1. A method for image noise separation, said method comprising:
- a) processing an original input image to create a first-layer LH filtered image, LH1, which has been low-pass filtered in a first direction and high-pass filtered in a second direction;
b) processing said input image to create a first-layer HL filtered image, HL1, which has been high-pass filtered in said first direction and low-pass filtered in said second direction;
c) processing said input image to create a first-layer LL filtered image, LL1, which has been low-pass filtered in said first direction and low-pass filtered in said second direction;
d) combining said first-layer LH filtered image and said first-layer HL filtered image to produce a first-layer edge energy feature, EE1;
e) repeating steps b-d using said first-layer LL filtered image as an input image thereby creating a second-layer LH filtered image, LH2, a second-layer HL filtered image, HL2, and a second-layer LL filtered image, LL2;
f) combining said second-layer LH filtered image and said second-layer HL filtered image to produce a second-layer edge energy feature, EE2;
g) creating an edge map, EM, from at least one of said edge energy features; and
h) creating a de-noised image by modifying values in said original input image with values in at least one of said LL filtered images at locations that are not designated as edge areas by said edge map.
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Abstract
Embodiments of the present invention comprise systems and methods for identifying and separating noise from an image.
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Citations
20 Claims
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1. A method for image noise separation, said method comprising:
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a) processing an original input image to create a first-layer LH filtered image, LH1, which has been low-pass filtered in a first direction and high-pass filtered in a second direction; b) processing said input image to create a first-layer HL filtered image, HL1, which has been high-pass filtered in said first direction and low-pass filtered in said second direction; c) processing said input image to create a first-layer LL filtered image, LL1, which has been low-pass filtered in said first direction and low-pass filtered in said second direction; d) combining said first-layer LH filtered image and said first-layer HL filtered image to produce a first-layer edge energy feature, EE1; e) repeating steps b-d using said first-layer LL filtered image as an input image thereby creating a second-layer LH filtered image, LH2, a second-layer HL filtered image, HL2, and a second-layer LL filtered image, LL2; f) combining said second-layer LH filtered image and said second-layer HL filtered image to produce a second-layer edge energy feature, EE2; g) creating an edge map, EM, from at least one of said edge energy features; and h) creating a de-noised image by modifying values in said original input image with values in at least one of said LL filtered images at locations that are not designated as edge areas by said edge map. - View Dependent Claims (2, 3, 4, 5)
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6. A method for image noise separation, said method comprising:
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a) receiving a color input image; b) performing multi-layer decomposition on each color channel of said color input image thereby producing at least one edge energy feature for each color channel and a first-layer low-pass filtered image and a third-layer low-pass filtered image for each color channel; c) representing said edge energy features with coefficients; d) weighting the color channels of said color input image with said coefficients to produce a combined image; e) performing multi-layer decomposition on said combined image to produce at least one combined image edge energy feature and at least one combined image low-pass filtered image; f) creating an edge map based on said combined image edge energy feature; and g) creating a de-noised color image by modifying values in each color channel of said color input image with values from said low-pass filtered color channel images at locations that are not designated as edge areas by said edge map. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for image noise separation, said method comprising:
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a) a color-channel multi-layer filter processor for performing multi-layer decomposition on each color channel of a color input image thereby producing at least one edge energy feature for each color channel, a first-layer low-pass filtered image and a third-layer low-pass filtered image for each color channel of said color input image; b) a coefficient generator for representing said edge energy features with coefficients; c) a linear projection processor for weighting the color channels of said color input image with said coefficients to produce a combined image; d) a combined-image, multi-layer filter processor for performing multi-layer decomposition on said combined image to produce at least one combined image edge energy feature and at least one combined image low-pass filtered image; e) an edge map processor for creating an edge map based on said combined image edge energy feature; and f) a de-noise processor for creating a de-noised color image by modifying values in each color channel of said color input image with values from said low-pass filtered color channel images at locations that are not designated as edge areas by said edge map. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification