Abstract:

In imaging on moving target,it is easy to get space-
variant blurred image.In order to recover the image and gain
recognizable target,an approach to recover the space-variant
blurred image is presented based on image segmentation.Be-
cause of motion blur’s convolution process,the pixels of observed
image’s target and background will be displaced and piled up to
produce two superposition regions.As a result,the neighbor-
ing pixels in the superposition regions will have similar grey level
change.According to the pixel’s motion-blur character,the target’s
blurred edge of superposition region could be detected.Canny
operator can be recurred to detect the target edge which parallels
the motion blur direction.Then in the segmentation process,the
whole target image which has the character of integral convolution
between motion blur and real target image can be obtained.At
last,the target image is restored by deconvolution algorithms with
adding zeros.The restoration result indicates that the approach
can effectively solve the kind of problem of space-variant motion
blurred image restoration.