IP Library Granted Patent US 7,425,985
Granted Patent B2
US 7,425,985 · App. 11/210,564 · Granted Sep 16, 2008

Image processing apparatus and method

Assignee: Canon Kabushiki Kaisha
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 7,425,985
App. No.
11/210,564
Granted
Sep 16, 2008
Kind
B2
Abstract

A dodging process which brightens a dark portion sometimes makes noise components contained in an image obtained by an image sensor conspicuous. A gray image generator extracts a luminance component Y of an image, an unsharp image generator generates an unsharp image L on the basis of the luminance component Y, a correction coefficient calculator calculates a correction coefficient g for correcting a brightness difference of the image in accordance with the unsharp image L, a corrector performs a dodging process in accordance with the correction coefficient g, and a noise eliminator eliminates noise of the image in accordance with the correction coefficient g.

Claims (32)

1. An image processing apparatus comprising:

an extractor, arranged to extract a luminance component of an image;

a generator, arranged to generate an unsharp image of the luminance component;

a corrector, arranged to correct the image using a correction amount in accordance with the unsharp image; and

an eliminator, arranged to eliminate noise of the corrected image in accordance with the correction amount,

wherein said eliminator makes the noise elimination effective when the correction amount exceeds a predetermined amount, and makes the noise elimination ineffective when the correction amount is not more than the predetermined amount.

2. The apparatus according to claim 1 , wherein said generator generates the unsharp image by using luminance components of pixels surrounding a pixel of interest, said corrector calculates the correction amount of the pixel of interest referring to a pixel of the unsharp image which corresponds to the pixel of interest, and said eliminator controls elimination condition of the noise based on the correction amount.

3. The apparatus according to claim 1 , wherein said eliminator is one of a median filter and low-pass filter.

4. The apparatus according to claim 1 , further comprising a display controller arranged to display the image having undergone the noise elimination as an image on a monitor.

5. The apparatus according to claim 1 , further comprising a camera arranged to photograph an image.

6. The apparatus according to claim 1 , further comprising a camera controller arranged to control an angle of view of said extractor.

7. The apparatus according to claim 6 , wherein said eliminator makes the noise elimination ineffective while the angle of view is controlled.

8. An image processing method comprising steps of:

extracting a luminance component of an image;

generating an unsharp image of the luminance component;

correcting the image using a correction amount in accordance with the unsharp image; and

eliminating noise of the corrected image in accordance with the correction amount, wherein the noise elimination is made effective when the correction amount exceeds a predetermined amount, and the noise elimination is made ineffective when the correction amount is not more than the predetermined amount.

9. The method according to claim 8 , wherein the image is a frame image of a motion image, and the noise elimination is performed using a plurality of frame images including a frame image to be processed.

10. An image processing method comprising steps of:

performing correction based on a luminance component of an image;

performing a noise elimination process for the corrected image, wherein the noise elimination is made effective when a correction amount exceeds a predetermined amount and the noise elimination is made ineffective when the correction amount is not more than the predetermined amount; and

controlling conditions of the correction and conditions of the noise elimination process on the basis of an unsharp image generated on the basis of the luminance component of the image.

11. The method according to claim 10 , wherein the image is a frame image of a motion image, and the noise elimination process is performed using a plurality of frame images including a frame image to be processed.

12. A computer program stored on a computer-readable storage medium for an image processing method, said method comprising steps of:

extracting a luminance component of an image;

generating an unsharp image of the luminance component;

correcting the image using a correction amount in accordance with the unsharp image; and

eliminating noise of the corrected image in accordance with the correction amount, wherein the noise elimination is made effective when the correction amount exceeds a predetermined amount, and the noise elimination is made ineffective when the correction amount is not more than the predetermined amount.

13. A computer program stored on a computer-readable storage medium for an image processing method, said method comprising steps of:

performing correction based on a luminance component of an image;

performing a noise elimination process for the corrected image, wherein the noise elimination is made effective when a correction amount exceeds a predetermined amount and the noise elimination is made ineffective when the correction amount is not more than the predetermined amount; and

controlling conditions of the correction and conditions of the noise elimination process on the basis of an unsharp image generated on the basis of the luminance component of the image.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 24, 2005
From: KAWAI, TOMOAKI
To: CANON KABUSHIKI KAISHA
Reel/Frame 017134/0105 →
Priority Claims (1)
JP 2004-249016 · Aug 27, 2004 · national
Continuity (1)
Related Publication 20060045377A1 · Mar 2, 2006