Method and apparatus to correct digital image blur due to motion of subject or imaging device

• US 8,331,723 B2
• Filed: 03/24/2005
• Issued: 12/11/2012
• Est. Priority Date: 03/25/2004
• Status: Active Grant

• Current Assignee: Clear Imaging Research, LLC
• Original Assignee: Fatih M. Ozluturk
• Inventors: Ozluturk, Fatih M.
• Primary Examiner(s): TSAI, TSUNG YIN
• Application Number:
  US11/089,081
• Publication Number:
  US 20050259888A1
• Time in Patent Office: 2,819 Days
• Field of Search: 382/275, 358/160, 348/616, 395/23
• US Class Current: 382/275
• CPC Class Codes: G02B 27/646 compensating for small deviations, e.g. due to vibration or shake movement of one or more optical elements for control of motion blur in cameras, projectors or printers G03B2205/0007; image stabilisation in cameras peculiar to the presence or use of an electronic image sensor H04N23/68
• CPC Class Codes: G06T 2207/10004 Still image; Photographic image
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/20024 Filtering details
• CPC Class Codes: G06T 2207/20201 Motion blur correction
• CPC Class Codes: G06T 2207/20212 Image combination
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 5/73 Deblurring; Sharpening
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: H04N 23/62 Control of parameters via user interfaces
• CPC Class Codes: H04N 23/68 for stable pick-up of the scene, e.g. compensating for camera body vibrations
• CPC Class Codes: H04N 23/681 Motion detection
• CPC Class Codes: H04N 23/6811 based on the image signal
• CPC Class Codes: H04N 23/6812 based on additional sensors, e.g. acceleration sensors
• CPC Class Codes: H04N 23/683 performed by a processor, e.g. controlling the readout of an image memory
• CPC Class Codes: H04N 23/687 by shifting the lens or sensor position
• CPC Class Codes: H04N 23/80 Camera processing pipelines; Components thereof
• CPC Class Codes: H04N 25/615 involving a transfer function modelling the optical system, e.g. optical transfer function [OTF], phase transfer function [PhTF] or modulation transfer function [MTF]
• CPC Class Codes: H04N 5/265 Mixing

Abstract

Signal processing techniques are applied to digital image data to remove the distortion caused by motion of the camera, or the movement of the subject being photographed, or defective optics, or optical distortion from other sources. When the image is captured, the effect of relative motion between the camera and the subject is that it transforms the true image into a blurred image according to a 2-dimensional transfer function. The 2-dimensional transfer function representing the motion is derived using blind estimation techniques or by using information from sensors that detect the motion. The transfer function is inverted and used to define a corrective filter. The filter is applied to the image and the blur due to the motion is removed, restoring the correct image. Another embodiment uses the transfer function to avoid blur by combining multiple consecutive images taken at a fast shutter speed.

Claims

1. A method for use in imaging, the method comprising:

a recording medium capturing an image via a lens;

one or more motion detectors generating two dimensional motion information associated with the image, wherein the two dimensional motion information includes linear horizontal direction motion information and linear vertical direction motion information;

a processor deriving a two dimensional transfer function based on the two dimensional motion information and on a focal length of the lens;

the processor determining a deconvolution filter, wherein the deconvolution filter implements an inverse of the two dimensional transfer function; and

the processor filtering the image using the deconvolution filter.

2. The method of claim 1 wherein the image is generated by an imager and the two dimensional motion information indicates movement of the imager.

3. The method of claim 1 wherein the image is a digital image.

4. The method of claim 1, wherein the deconvolution filter is determined based on a portion of the image that is smaller than the entire image, and

wherein the filtering the image using the deconvolution filter is performed on the entire image.

5. The method of claim 1 wherein the derived transfer function is estimated using at least one blind detection technique.

6. The method of claim 1 wherein the one or more motion detectors consist of two motion detectors.

7. The method of claim 1,

wherein the deconvolution filter is determined based on a portion of the image that is smaller than the entire image, and

wherein the filtering the image using the deconvolution filter is performed on the portion of the image.

8. A camera, comprising:

a lens;

a recording medium, configured to capture an image via the lens;

one or more motion detectors, configured to generate two dimensional motion information associated with the image, wherein the two dimensional motion information includes linear horizontal motion information and linear vertical motion information;

a processor, configured;

to derive a two dimensional transfer function based on the two dimensional motion information and on a focal length of the lens;

to determine a deconvolution filter, wherein the deconvolution filter implements an inverse of the two dimensional transfer function; and

to filter the image using the deconvolution filter.

9. The camera of claim 8 wherein the processor is further configured to determine the deconvolution filter based on a portion of the image that is smaller than the entire image, and to filter the entire image using the deconvolution filter.

10. The camera of claim 8 wherein the processor is configured to estimate the derived transfer function using at least one blind detection technique.

11. The camera of claim 8 wherein the image is a digital image.

12. The camera of claim 8 wherein the image is generated by an imager and the two dimensional motion information indicates movement of the imager.

13. The camera of claim 8 wherein the one or more motion detectors consist of two motion detectors.

14. The camera of claim 8, wherein

the processor is further configured to determine the deconvolution filter based on a portion of the image that is smaller than the entire image, and

wherein the processor is configured to filter the image by filtering the portion of the image.

15. A method for use in imaging, the method comprising:

a recording medium in an imager capturing an image via a lens;

one or more motion detectors generating two dimensional motion information, wherein the two dimensional information describes movement of the imager while the recording medium is capturing the image, and wherein the two dimensional motion information includes linear motion information in a left-right direction and linear motion information in an up-down direction;

a processor deriving a two dimensional transfer function based on the two dimensional motion information and on a focal length of the lens;

the processor determining a deconvolution filter, wherein the deconvolution filter implements an inverse of the two dimensional transfer function; and

the processor filtering the image using the deconvolution filter.

16. The method of claim 15 wherein the image is a digital image.

17. The method of claim 15,

wherein the deconvolution filter is determined based on a portion of the image that is smaller than the entire image, and

wherein the filtering the image using the deconvolution filter is performed on the entire image.

18. The method of claim 15 wherein the derived transfer function is estimated using at least one blind detection technique.

19. The method of claim 15 wherein the one or more motion detectors consist of two motion detectors.

20. The method of claim 15,

wherein the deconvolution filter is determined based on a portion of the image that is smaller than the entire image, and

wherein the filtering the image using the deconvolution filter is performed on the portion of the image.