Method conducting smoothing processing in a linear direction having a minimized magnitude of density change
First Claim
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1. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
- calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each pixel of an input image; and
conducting one-dimensional smoothing processing for each pixel of the input image in a linear direction of one of said plurality of linear direction components, said linear direction for each pixel being selected on a basis of having a minimum said magnitude Ei of density change for that pixel as calculated in said calculating step.
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Abstract
A noise filtering method including the steps of calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each of pixels of an inputted two-dimensional image, detecting such a direction as to minimize the magnitude Ei of density change, conducting smoothing processing by deriving an arithmetic mean of densities of pixels in the local region arranged in the detected direction, and thereby reducing noise of the inputted image.
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Citations
20 Claims
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1. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each pixel of an input image; and conducting one-dimensional smoothing processing for each pixel of the input image in a linear direction of one of said plurality of linear direction components, said linear direction for each pixel being selected on a basis of having a minimum said magnitude Ei of density change for that pixel as calculated in said calculating step. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each pixel of an input image; detecting a minimum value Emin of magnitude of density change for said each pixel, determining, on the basis of said minimum value Emin, whether two-dimensional smoothing should be preformed or one-dimensional smoothing should be performed, and detecting such a direction as to minimize Ei as a direction for smoothing in case one-dimensional smoothing is to be performed; and performing plane smoothing processing in case the determined smoothing method is two-dimensional smoothing mid performing one-dimensional smoothing processing in the detected direction in case the determined smoothing method is one-dimensional smoothing. - View Dependent Claims (10)
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11. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each pixel of an input image; detecting such a direction as to minimize said magnitude Ei of density change; expanding a smoothing region in the direction minimizing the magnitude Ei of density change, from an end of said local region in said detected direction toward an outside of said local region; and
conducting smoothing processing in the expanded region for each pixel.
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12. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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successively determining, for each pixel of an input image, whether directionality of a local structure is present in each matrix size while monotonically decreasing the matrix size, and deciding a maximum matrix size in which directionality of the local structure can be judged to be present; detecting, for said each pixel, a direction of linear direction component as to minimize the magnitude Ei of density change in the decided matrix size; and conducting smoothing processing in the direction detected according to the matrix size decided for each pixel. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each pixel of an input image; detecting a minimum value Emin of magnitude of density change for said each pixel, determining, on the basis of said minimum value Emin, whether two-dimensional smoothing should be preformed or one-dimensional smoothing should be performed, and detecting a linear direction of one of said plurality of linear direction components for smoothing in case one-dimensional smoothing is to be performed, said linear direction being detected on a basis of having a minimum said magnitude Ei of density change as calculated in said calculating step; and performing plane smoothing processing in case the determined smoothing method is two-dimensional smoothing and performing one-dimensional smoothing processing in the detected direction in case the determined smoothing method is one-dimensional smoothing.
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19. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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calculating a magnitude Ei of density change for each of a plurality of linear direction components i in a local region around each pixel of an input image; detecting a linear direction of one of said plurality of linear direction components so as to minimize said magnitude Ei of density change as calculated in said calculating step; expanding a smoothing region in said linear direction minimizing the magnitude Ei of density change from said detecting step, from an end of said local region in said linear direction toward an outside of said local region; and conducting one-dimensional smoothing processing in the expanded region for each pixel.
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20. A noise filtering method implemented using a computer for enhancing images, said method comprising the steps of:
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successively determining, for each pixel of an input image, whether directionality of a local structure is present in each matrix size while monotonically decreasing the matrix size, and deciding a maximum matrix size in which directionality of the local structure can be judged to be present; detecting, for said each pixel, a linear direction of one of a plurality of linear direction components i in a local region around each pixel, said linear direction being detected on a basis of having a minimum magnitude Ei of density change of all said plurality of linear direction components in a decided matrix size from said determining step; and conducting one-dimensional smoothing processing in said linear direction detected according to the matrix size decided for each pixel.
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Specification