Image deblurring using a spatial image prior
First Claim
1. A method for determining a deblurred image, the method implemented at least in part by a data processing system and comprising:
- a) receiving a sharp image of a scene captured with a short exposure time;
b) receiving a blurred image of the scene captured with a longer exposure time than the sharp image, wherein the blurred image has a higher level of motion blur than the sharp image;
c) determining a blur kernel responsive to the sharp image and the blurred image;
d) determining one or more reference differential images responsive to the sharp image, wherein each pixel of a particular reference differential image is determined by computing a difference between the corresponding pixel in the sharp image and a nearby pixel in the sharp image at a predefined relative position, wherein each differential digital image is associated with a different predefined relative position;
e) defining an energy function that includes an image differential term that is a function of differences between the reference differential images and a corresponding set of candidate differential images computed for a candidate deblurred image, wherein the candidate differential images for the candidate deblurred image are computed using the predefined relative positions associated with the corresponding reference differential images;
f) determining a deblurred image responsive to the blurred image and the blur kernel by evaluating candidate deblurred images using the energy function; and
g) storing the deblurred image in a processor-accessible memory system.
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Abstract
A method for determining a deblurred image, the method implemented at least in part by a data processing system and comprising: receiving a sharp image of a scene captured with a short exposure time; receiving a blurred image of the scene captured with a longer exposure time than the sharp image, wherein the blurred image has a higher level of motion blur and a lower level of image noise than the sharp image; determining a blur kernel responsive to the sharp image and the blurred image; determining one or more reference differential images responsive to the sharp image; determining a deblurred image responsive to the blurred image, the blur kernel and the one or more reference differential images; and storing the deblurred image in a processor-accessible memory system.
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Citations
21 Claims
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1. A method for determining a deblurred image, the method implemented at least in part by a data processing system and comprising:
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a) receiving a sharp image of a scene captured with a short exposure time; b) receiving a blurred image of the scene captured with a longer exposure time than the sharp image, wherein the blurred image has a higher level of motion blur than the sharp image; c) determining a blur kernel responsive to the sharp image and the blurred image; d) determining one or more reference differential images responsive to the sharp image, wherein each pixel of a particular reference differential image is determined by computing a difference between the corresponding pixel in the sharp image and a nearby pixel in the sharp image at a predefined relative position, wherein each differential digital image is associated with a different predefined relative position; e) defining an energy function that includes an image differential term that is a function of differences between the reference differential images and a corresponding set of candidate differential images computed for a candidate deblurred image, wherein the candidate differential images for the candidate deblurred image are computed using the predefined relative positions associated with the corresponding reference differential images; f) determining a deblurred image responsive to the blurred image and the blur kernel by evaluating candidate deblurred images using the energy function; and g) storing the deblurred image in a processor-accessible memory system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A digital camera system comprising:
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an image sensor for capturing an image of a scene; an lens system for imaging the scene onto the image sensor; a processor-accessible memory system; a data processing system for performing the steps of; receiving a sharp image of a scene captured with a short exposure time; receiving a blurred image of the scene captured with a longer exposure time than the sharp image, wherein the blurred image has a higher level of motion blur and a lower level of image noise than the sharp image; determining a blur kernel responsive to the sharp image and the blurred image; determining one or more reference differential images responsive to the sharp image, wherein each pixel of a particular reference differential image is determined by computing a difference between the corresponding pixel in the sharp image and a nearby pixel in the sharp image at a predefined relative position, wherein each reference differential image is associated with a different predefined relative position; defining an energy function that includes an image differential term that is a function of differences between the reference differential images and a corresponding set of candidate differential images computed for a candidate deblurred image, wherein the candidate differential images for the candidate deblurred image are computed using the predefined relative positions associated with the corresponding reference differential images; determining a deblurred image responsive to the blurred image and the blur kernel by evaluating candidate deblurred images using the energy function; and storing the deblurred image in a processor-accessible memory system.
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21. A computer program product for determining a deblurred image comprising an executable software application stored in a non-transitory processor readable medium for causing a data processing system to perform the steps of
a) receiving a sharp image of a scene captured with a short exposure time; -
b) receiving a blurred image of the scene captured with a longer exposure time than the sharp image, wherein the blurred image has a higher level of motion blur than the sharp image; c) determining a blur kernel responsive to the sharp image and the blurred image; d) determining one or more reference differential images responsive to the sharp image, wherein each pixel of a particular reference differential image is determined by computing a difference between the corresponding pixel in the sharp image and a nearby pixel in the sharp image at a predefined relative position, wherein each reference differential image is associated with a different predefined relative position; e) defining an energy function that includes an image differential term that is a function of differences between the reference differential images and a corresponding set of candidate differential images computed for a candidate deblurred image, wherein the candidate differential images for the candidate deblurred image are computed using the predefined relative positions associated with the corresponding reference differential images; f) determining a deblurred image responsive to the blurred image and the blur kernel by evaluating candidate deblurred images using the energy function; and g) storing the deblurred image in a processor-accessible memory system.
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Specification