IMAGE ENHANCEMENT DEVICE FOR REDUCTION OF NOISE IN DIGITAL IMAGES

• US 20130208129A1
• Filed: 01/24/2013
• Published: 08/15/2013
• Est. Priority Date: 01/24/2012
• Status: Abandoned Application

• Current Assignee: WesDyne Sweden AB
• Original Assignee: WesDyne TRC AB (Brookfield Asset Management Incorporated)
• Inventors: Stenman, David
• Application Number:
  US13/748,894
• Publication Number:
  US 20130208129A1
• Time in Patent Office: Days
• US Class Current: 348/207.1
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30108 Industrial image inspection
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 5/77 Retouching; Inpainting; Scratch removal

Abstract

The invention relates to an image enhancement device comprising an image recording device, configured to register a series of subsequent images of a particular object, whereby each image includes a matrix of pixels, each pixel representing a particular image content, a processing unit configured to execute de-noising operations to reduce noise in said series of subsequent images, and a screen. The noise is reduced by identifying at least one pixel of noise in an image, removing the image content of said pixel from the image and substituting said removed image content with replacement image content derived by overlapping the images of the series of subsequent images. Further, the processing unit is configured to overlap images by integrating replacement image content from a second image into a first image from which the image content has been removed.

Claims

1. An image enhancement device, comprising:

a digital image recording device configured to register a series of subsequent images of a particular object, whereby each image comprises a matrix of pixels, each pixel representing a particular image content;

a processing unit configured to execute one or more de-noising operations to reduce induced noise in said series of subsequent images; and

a screen for visualising one or more registered images, wherein,

the noise is reduced by identifying at least one pixel of noise in an image, removing the image content of said at least one pixel from the image and substituting said removed image content with replacement image content derived by overlapping the images of the series of subsequent images,

whereby noise is defined as a physical obstruction or transient distortion between the object and the image recording device, and

whereby the processing unit is configured to execute one or more other de-noising operations before or after one or more images are visualised on the screen, and whereby one de-noising operation is selected from an averaging method.

2. The image enhancement device according to claim 1, wherein the processing unit is configured to overlap the images by integrating replacement image content from a second image within the series of subsequent images into a first image from which the image content of at least one pixel has been removed and whereby the integrated replacement image content is free of noise.

3. The image enhancement device according to claim 1, wherein the processing unit is configured to identify at least one pixel of noise by comparing a value for colour and/or intensity of the image content of the at least one pixel with a reference value for colour and/or intensity.

4. The image enhancement device according to claim 1, wherein the series of images are registered from a static object.

5. The image enhancement device according to claim 1, wherein the series of subsequent images are registered from a moving object, whereby the processing unit is configured to perform an additional step of identifying areas of overlap between two or more images in the series of images before reducing noise in said area of overlap and exclusively execute the de-noising operations with respect to said area of overlap.

6. The image enhancement device according to claim 5, wherein the processing unit is configured to extract a background in an image and build a panorama image of the moving object.

7. The image enhancement device according to claim 3, wherein the processing unit is configured to apply a threshold level for defining the value of noise.

8. The image enhancement device according to claim 7, wherein the processing unit is configured to adapt the threshold level to the origin of the noise and the environment in which the image recording device is used.

9. The image enhancement device according to claim 1, wherein the induced noise comprises one or more of radiation noise, thermal noise, multiplicative noise, impulsive noise, luminescence noise, colour noise and one or more of physical obstruction or transient distortion between the object and the image recording device.

10. The image enhancement device according to claim 1, wherein the processing unit is configured to eliminate the noise entirely.

11. The image enhancement device according claim 1, wherein the digital recording device comprises an analogue camera and a converting device configured to convert an analogue image to a digital image

12. The image enhancement device according claim 1, wherein the digital image recording device is a digital camera.

13. A method for reducing noise in a series if images registered using an image enhancement device comprising:

a digital image recording device configured to register a series of subsequent images of a particular object, whereby each image comprises a matrix of pixels, each pixel representing a particular image content;

a processing unit configured to execute one or more de-noising operations to reduce induced noise in said series of subsequent images;

a screen for visualising one or more registered images;

reducing the noise by identifying at least one pixel of noise in an image;

removing the image content of said at least one pixel from the image; and

substituting said removed image content with replacement image content derived by overlapping the images of the series of subsequent images; and

executing one or more other de-noising operations before or after one or more images are visualised on the screen, whereby one de-noising operation is selected from an averaging method using the processing unit;

whereby noise is defined as a physical obstruction or transient distortion between the object and the image recording device.

14. The method according to claim 13, wherein the processing unit is configured to overlap the images by integrating replacement image content from a second image within the series of subsequent images into a first image from which the image content of at least one pixel has been removed and whereby the integrated replacement image content is free of noise.

15. The method according to claim 13, wherein the processing unit is configured to identify at least one pixel of noise by comparing a value for colour and/or intensity of the image content of the at least one pixel with a reference value for colour and/or intensity.

16. The method according to claim 15, wherein the processing unit is configured to apply a threshold level for defining the value of noise.