APPARATUS, METHOD AND COMPUTER-READABLE MEDIUM REMOVING NOISE OF COLOR IMAGE

• US 20110194763A1
• Filed: 10/14/2010
• Published: 08/11/2011
• Est. Priority Date: 02/05/2010
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Jeon, Young Sun, Lee, Shi Hwa, Cha, Joon Hyuk, MOON, Young Su
• Granted Patent: US 8,718,361 B2
• Time in Patent Office: Days
• US Class Current: 382/167
• CPC Class Codes: G06T 2207/10012 Stereo images
• CPC Class Codes: G06T 5/70 Denoising; Smoothing

Abstract

Provided is an apparatus, method and computer-readable medium removing noise of an image. The apparatus may include a channel image correction unit to correct remaining channel images excluding a currently processed channel image, from among a plurality of channel images, using the currently processed channel image, a noise removal unit to remove noise of the currently processed channel image, using the corrected remaining channel images and the currently processed channel image, and a color image reconstruction unit to reconstruct a color image in which noise is removed, by combining the plurality of channel images in which noise is removed when the noise of the plurality of channel images is removed.

Claims

1. An apparatus removing noise of an image, comprising:

a channel image correction unit to correct remaining channel images excluding a currently processed channel image from among a plurality of channel images using the currently processed channel image;

a noise removal unit to remove noise of the currently processed channel image, using the corrected remaining channel images and the currently processed channel image; and

a color image reconstruction unit to reconstruct a color image in which noise is removed, by combining the plurality of channel images in which noise is removed when the noise of the plurality of channel images is removed.

2. The apparatus of claim 1, wherein the channel image correction unit corrects the remaining channel images to replace an image corresponding to a low frequency band from among the remaining channel images with an image corresponding to a low frequency band from among the currently processed channel images.

3. The apparatus of claim 1, further comprising:

a frequency band separation unit to separate each of the plurality of channel images to a low frequency band image and a high frequency band image to generate a plurality of Laplacian pyramids corresponding to the plurality of channel images, wherein the channel image correction unit corrects low frequency bands of the plurality of Laplacian pyramids corresponding to the remaining channel images to output the corrected plurality of Laplacian pyramids.

4. The apparatus of claim 3, wherein the channel image correction unit corrects a part or all of the low frequency bands of the plurality of Laplacian pyramids.

5. The apparatus of claim 4, further comprising:

a channel image restoration unit to restore, into the plurality of channel images, the corrected plurality of Laplacian pyramids corresponding to the remaining channel images.

6. The apparatus of claim 1, wherein the noise removal unit sets, in the currently processed channel image and the corrected remaining channel images, a search region where a pattern matching is performed, with respect to a current pixel in which noise is removed, and removes the noise of the current pixel using a cumulative result of intensity where a weight is applied to neighboring pixels of the current pixel and a cumulative result of the weight.

7. The apparatus of claim 6, wherein the noise removal unit divides the cumulative result of the intensity into the cumulative result of the weight to remove the noise of the current pixel.

8. The apparatus of claim 1, further comprising:

a color image division unit to divide an inputted color image into the plurality of channel images.

9. A method of removing noise of an image, comprising:

correcting, by at least one processor, remaining channel images excluding a currently processed channel image from among a plurality of channel images using the currently processed channel image;

removing, by the at least one processor, noise of the currently processed channel image, using the corrected remaining channel images and the currently processed channel image; and

reconstructing, by the at least one processor, a color image in which noise is removed, by combining the plurality of channel images in which noise is removed when the noise of the plurality of channel images is removed.

10. The method of claim 9, wherein the correcting corrects the remaining channel images to replace an image corresponding to a low frequency band from among the remaining channel images with an image corresponding to a low frequency band from among the currently processed channel images.

11. The method of claim 9, further comprising:

generating a plurality of Laplacian pyramids corresponding to the plurality of channel images by separating each of the plurality of channel images to a low frequency band image and a high frequency band image,

wherein the correcting corrects low frequency bands of the plurality of Laplacian pyramids corresponding to the remaining channel images to output the corrected plurality of Laplacian pyramids.

12. The method of claim 11, wherein the correcting corrects a part or all of the low frequency bands of the plurality of Laplacian pyramids.

13. The method of claim 12, further comprising:

restoring, into the plurality of channel images, the corrected plurality of Laplacian pyramids corresponding to the remaining channel images.

14. The method of claim 9, wherein the removing sets, in the currently processed channel and the corrected remaining channel images, a search region where a pattern matching is performed, with respect to a current pixel in which noise is removed, and removes the noise of the current pixel using a cumulative result of intensity where a weight is applied to neighboring pixels of the current pixel and a cumulative result of the weight.

15. The method of claim 9, further comprising:

dividing an inputted color image into the plurality of channel images.

16. At least one non-transitory computer-readable medium comprising computer readable instructions that control at least one processor to implement a method, comprising:

correcting remaining channel images excluding a currently processed channel image from among a plurality of channel images using the currently processed channel image;

removing noise of the currently processed channel image, using the corrected remaining channel images and the currently processed channel image; and

reconstructing a color image in which noise is removed, by combining the plurality of channel images in which noise is removed when the noise of the plurality of channel images is removed.