Loading...
Please wait, while we are loading the content...
Similar Documents
image deconvolution: motion blur estimation (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Krahmer, Felix Lin, Youzuo Mcadoo, Bonnie Ott, Katharine Wang, Jiakou Widemann, David Wohlberg, Mentor Brendt |
| Description | This report discusses methods for estimating linear motion blur. The blurred image is modeled as a convolution between the original image and an unknown point-spread function. The angle of motion blur is estimated using three different approaches. The first employs the cepstrum, the second a Gaussian filter, and the third the Radon transform. To estimate the extent of the motion blur, two different cepstral methods are employed. The accuracy of these methods is evaluated using artificially blurred images with varying degrees of noise added. Finally, the best angle and length estimates are combined with existing deconvolution methods to see how well the image is deblurred. 1 |
| File Format | |
| Language | English |
| Publisher Date | 2006-01-01 |
| Publisher Institution | University of Minnesota |
| Access Restriction | Open |
| Subject Keyword | Blurred Image Image Deconvolution Different Cepstral Method Radon Transform Linear Motion Blur Gaussian Filter Different Approach Deconvolution Method Unknown Point-spread Function Motion Blur Estimation Motion Blur Original Image Length Estimate |
| Content Type | Text |
| Resource Type | Article |
