Information processing apparatus, method for processing information, and computer program
US-2017019569-A1 · Jan 19, 2017 · US
US9998631B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9998631-B2 |
| Application number | US-201615208425-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 12, 2016 |
| Priority date | Jul 13, 2015 |
| Publication date | Jun 12, 2018 |
| Grant date | Jun 12, 2018 |
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An information processing method includes calculating at least one difference value between a pixel value of a target pixel in an input image obtained by capturing a document image and a pixel value of a corresponding pixel in a shade component image at coordinates identical to those of the target pixel. The shade component image represents shade components of the input image. The shade components depend on an image capture environment. The method further includes correcting the pixel value of the target pixel in the input image based on a correction rate to correct a shade component in the target pixel. The correction rate depends on at least one difference value associated with the target pixel in the input image.
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What is claimed is: 1. A method for image processing, the method comprising: obtaining an input image including a shade component by capturing a document; estimating a shade component image, the shade component image representing the shade component of the input image, the shade component depending on an image capture environment in which the document has been captured; calculating at least one difference value between a pixel value of a target pixel in the input image and a pixel value in the shade component image at coordinates identical to those of the target pixel; and correcting the pixel value of the target pixel in the input image based on the pixel value in the shade component image and a correction rate to remove a shade component in the target pixel, the correction rate depending on the difference value associated with the target pixel in the input image, wherein as the difference value increases, the correction rate decreases. 2. The method according to claim 1 , wherein in the calculating, the calculated at least one difference value comprises a plurality of calculated difference values including: a difference value between a red component of the target pixel in the input image and a red component of the corresponding pixel in the shade component image, a difference value between a green component of the target pixel in the input image and a green component of the corresponding pixel in the shade component image, and a difference value between a blue component of the target pixel in the input image and a blue component of the corresponding pixel in the shade component image. 3. The method according to claim 2 , wherein in the correcting, the pixel value of the target pixel in the input image is corrected based on a correction rate that depends on the largest one of the calculated difference values of the red, green, and blue components. 4. The method according to claim 1 , wherein in the correcting, the shade component of the input image is corrected such that the shade component turns to white. 5. The method according to claim 1 , wherein in the correcting, the shade component is corrected based on a correction rate that depends on brightness of the input image. 6. The method according to claim 5 , wherein as the brightness of the input image decreases, the correction rate decreases. 7. The method according to claim 1 , wherein the pixel value in the input image contains a shade component that depends on the image capture environment. 8. An image processing apparatus comprising: a memory storing instructions; an image obtaining device that operates to obtain an input image including a shade component by capturing a document; one or more processors which execute the instructions and operate to: estimate a shade component image, the shade component image representing the shade component of the input image, the shade component depending on an image capture environment in which the document has been captured; calculate at least one difference value between a pixel value of a target pixel in the input image and a pixel value in the shade component image at coordinates identical to those of the target pixel; and correct the pixel value of the target pixel in the input image based on the pixel value in the shade component image and a correction rate to remove a shade component in the target pixel, the correction rate depending on the difference value associated with the target pixel in the input image, wherein as the difference value increases, the correction rate decreases. 9. A non-transitory computer-readable recording medium storing at least one program that causes a computer to execute a method for image processing, the method comprising: obtaining an input image including a shade component by capturing a document; estimating a shade component image, the shade component image representing the shade component of the input image, the shade component depending on an image capture environment in which the document has been captured; calculating at least one difference value between a pixel value of a target pixel in the input image and a pixel value in the shade component image at coordinates identical to those of the target pixel; and correcting the pixel value of the target pixel in the input image based on the pixel value in the shade component image and a correction rate to remove a shade component in the target pixel, the correction rate depending on the difference value associated with the target pixel in the input image, wherein as the difference value increases, the correction rate decreases.
dependent on the contents of the original · CPC title
Correction or control of colour gradation or colour contrast (H04N1/6058 takes precedence) · CPC title
with primary colour signals, e.g. RGB or CMY(K) · CPC title
with luminance or chrominance signals, e.g. LC1C2, HSL or YUV · CPC title
Colour correction or control {(H04N1/54 takes precedence)} · CPC title
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