METHOD AND APPARATUS FOR IMAGE PROCESSING

• US 20130308841A1
• Filed: 05/17/2013
• Published: 11/21/2013
• Est. Priority Date: 05/17/2012
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: PARK, Jong-geun, LEE, Jae-chool, JUNG, Hae-kyung, YIM, Jin-woo
• Application Number:
  US13/896,992
• Publication Number:
  US 20130308841A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/10116 X-ray image
• CPC Class Codes: G06T 2207/20192 Edge enhancement; Edge preservation
• CPC Class Codes: G06T 2207/30061 Lung
• CPC Class Codes: G06T 5/70 Denoising; Smoothing

Abstract

An image processing method and apparatus includes receiving a transmission image as an input image, obtaining a threshold which is applied to noise removal, based on at least one image information from among information related to a pixel intensity of the input image and an edge map, and removes noise in the input image by using the threshold.

Claims

1. A method of processing an image, the image processing method comprising:

receiving an object transmission photographed image as an input image;

obtaining a threshold which is applied to remove noise in the input image, based on at least one image information from among information related to pixel intensity of the input image and an edge map; and

removing the noise from the input image by using the threshold.

2. The method of claim 1, wherein the information relating to the pixel intensity comprises information related to a variance of the pixel intensity in a predetermined pixel which is included in the input image.

3. The method of claim 2, wherein the obtaining of the threshold comprises increasing the threshold in proportion to the variance, based on the information related to the variance of the pixel intensity.

4. The method of claim 3, wherein the obtaining of the threshold comprises reducing the threshold, which is applied to remove the noise in an edge area which is included in the input image, based on the edge map.

5. The method of claim 1, wherein the information relating to the pixel intensity comprises information related to the intensity of the predetermined pixel included in the input image and the variance of the pixel intensity.

6. The method of claim 1, further comprising dividing a range of the pixel intensity into N segments, and obtaining information related to the pixel intensity, which respectively corresponds to the divided range of the pixel intensity and a variance of the pixel intensity.

7. The method of claim 6, wherein the obtaining of the threshold comprises obtaining the threshold for each segment of the pixel intensity.

8. The method of claim 1, further comprising implementing a multi-scale transform of the input image, and obtaining information related to the variance of the pixel intensity, respectively for 0th through nth scaled images which are scaled down into 0th through nth scales.

9. The method of claim 8, wherein the obtaining of the threshold comprises:

selecting one image that ensures a linearity between the pixel intensity and the variance, from among the 0th through nth scaled images; and

obtaining the threshold, based on information related to the pixel intensity in the selected image.

10. The method of claim 9, wherein the removing of the noise comprises removing the noise by applying the threshold, in response to the intensity of the predetermined pixel, in the selected image, being equal to or less than the threshold.

11. The method of claim 10, wherein the removing of the noise further comprises removing the noise by non-linear filtering at least one image, other than the selected image, from among the 0th through nth scaled images.

12. An image processing apparatus comprising:

an image receiver configured to receive as an input image an object transmission photographed image; and

an image processor configured to obtain a threshold which is applied to remove noise, based on at least one image information from among information related to a pixel intensity of the input image and an edge map, and removing noise in the input image by using the threshold.

13. The image processing apparatus of claim 12, wherein the information related to the pixel intensity comprises information related to a variance of pixel intensity in a predetermined pixel which is included in the input image.

14. The image processing apparatus of claim 13, wherein the image processor increases the threshold in proportion to the variance.

15. The image processing apparatus of claim 14, wherein the image processor reduces the threshold, which is applied to noise removal in an edge area of the input image, based on the edge map.

16. The image processing apparatus of claim 13, wherein the image processor comprises an information obtainer configured to divide a range of the pixel intensity into N segments, and obtain information related to the pixel intensity, which respectively corresponds to the divided range of the pixel intensity, and a variance of the pixel intensity.

17. The image processing apparatus of claim 16, wherein the information obtainer obtains the threshold for each segment of the pixel intensity.

18. The image processing apparatus of claim 12, wherein the image processor comprises:

a scaler configured to implement a multi-scale transform of the input image; and

an information obtainer configured to obtain information related the variance of the pixel intensity, respectively for 0th through nth scaled images which are scaled down on 0th through nth scales by implementing the multi-scale transform.

19. The image processing apparatus of claim 18, wherein the image obtainer selects one image that ensures a linearity between the pixel intensity and the variance, from among the 0th through nth scaled images, and obtains the threshold, based on information related to the pixel intensity in the selected image.

20. The image processing apparatus of claim 19, wherein the image processor, in response to the pixel intensity of the predetermined pixel, in the selected image, being equal to or less than the threshold, removes the noise by applying the threshold, and

removes the noise by non-linear filtering at least one image, other than the selected image, from among the 0th through nth scaled images.

21. The image processing apparatus of claim 20, wherein the image processor further comprises an inverse-scaler configured to perform inverse scaling of images other than the selected images, from among the selected images and the 0th through nth scaled images, and is configured to output an output image which has the same size or resolution as the input image.

22. The image processing apparatus of claim 20, wherein the image receiver is configured to receive as the input image an X-ray image or a computed tomography (CT) image.

23. An image processing apparatus for removing noise from an image, the image processing apparatus comprising:

an image receiver configured to receive a transmission image as an input image; and

an image processor configured to obtain a threshold which is applied to remove noise, based on at least one image information from among information related to a pixel intensity of the input image and an edge map, and removing noise in the input image by using the threshold,

wherein the image processor reduces the threshold, which is applied to noise removal in an edge area of the input image, based on the edge map, and

an edge enhancer configured to adjust the pixel intensity at the edge in the input image (S_in).

24. The image processing apparatus of claim 23, wherein the image processor comprises an information obtainer configured to divide a range of the pixel intensity into N segments, and obtain information related to the pixel intensity.

25. The image processing apparatus of claim 23, wherein the information obtainer obtains the threshold for each segment of the pixel intensity.

26. The image processing apparatus of claim 23, wherein the image processor comprises:

a scaler configured to implement a multi-scale transform of the input image.

27. The image processing apparatus of claim 23, further comprising an information obtainer configured to obtain information related the variance of the pixel intensity, respectively for 0th through nth scaled images which are scaled down on 0th through nth scales by implementing a multi-scale transform.