Method And Apparatus For Reducing Motion Blur In An Image

A method of generating a motion blur reduced image using multiple motion blurred images each having respective blur parameters comprising:

• establishing a guess image based on the motion blurred images;
• forming multiple blurred guess images from the guess image as a function of the respective blur parameters;
• comparing each blurred guess image with a respective one of the motion blurred images and generating respective error images;
• blurring the error images as a function of the estimated blur direction and respective ones of the blur extents;
• forming a regularization image based on edges in the guess image;
• and
• combining the error images, the regularization image and the guess image thereby to update the guess image and correct for motion blur.

An apparatus for reducing motion blur in a motion blurred image, the apparatus comprising:

• a guess image blurring module blurring a guess image based on the motion blurred image as a function of the blur parameters of the motion blurred image;
• a comparator comparing the blurred guess image with the motion blurred image and generating an error image;
• an error image blurring module blurring the error image;
• a regularization module forming a regularization image based on edges in the guess image;
• and
• an image combiner combining the error image, the regularization image and the guess image thereby to update the guess image and correct for motion blur.

An apparatus for generating a motion blur reduced image using multiple motion blurred images each having respective blur parameters, the apparatus comprising:

• a guess image generator establishing a guess image based on the motion blurred images;
• a guess image blurring module forming multiple blurred guess images from the guess image as a function of the respective blur parameters;
• a comparator comparing each blurred guess image with a respective one of the motion blurred images and generating respective error images;
• an error image blurring module blurring the error images as a function of the estimated blur direction and respective ones of the blur extents;
• a regularization module forming a regularization image based on edges in the guess image;
• and
• an image combiner combining the error images, the regularization image and the guess image thereby to update the guess image and correct for motion blur.