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US 9,002,134 B2Granted
Multi-scale image normalization and enhancement
AssigneeRiverain Medical Group, LLC
InventorsJason F. Knapp, Steve W. Worrell
Life of this patent
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Abstract
An image may be processed to normalize and/or remove noise from the image. The processing of the image may involve decomposition of the image into multiple components and subsequent gray scale registration across multiple scales.
Claims13
A method of processing an image, comprising:
- normalizing the image, including resizing the image and adjusting the image bit depth, to obtain a pre-normalized image;
- obtaining from the pre-normalized image, by an automated processing device, multiple component images, using multi-scale decomposition;
- performing gray-scale registration based on the multiple component images, wherein the gray-scale registration includes performing histogram matching of the multiple component images in accordance with a target distribution corresponding to at least one histogram obtained based on at least one other image;
- removing unwanted information from the image using the multiple component images;
- normalizing the image based on the multiple component images;
- and
- enhancing the image by combining a result of the normalizing with a coarse residual component comprising low-frequency information, wherein the combining includes:
- multiplying the result of the normalizing by a first factor computed based on a quantized and scaled version of the coarse residual component and on a quantized and scaled version of the result of the normalizing;
- and
- multiplying the coarse residual component by a scalar design parameter for dynamic range reduction.
7 more elements
A non-transitory computer-readable medium containing software instructions that, if executed by a processor, cause the processor to perform operations comprising:
- normalizing the image, including resizing the image and adjusting the image bit depth, to obtain a pre-normalized image;
- obtaining from the pre-normalized image, by an automated processing device, multiple component images, using multi-scale decomposition;
- performing gray-scale registration based on the multiple component images, wherein the gray-scale registration includes performing histogram matching of the multiple component images in accordance with a target distribution corresponding to at least one histogram obtained based on at least one other image;
- removing unwanted information from the image using the multiple component images;
- normalizing the image based on the multiple component images;
- and
- enhancing the image by combining a result of the normalizing with a coarse residual component comprising low-frequency information, wherein the combining includes:
- multiplying the result of the normalizing by a factor computed based at least in part on a quantized and scaled version of the coarse residual component and on a quantized and scaled version of the result of the normalizing;
- and
- multiplying the coarse residual component by a scalar design parameter for dynamic range reduction.
7 more elements
Dependencies are inferred from the claim text.