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My ICIP 2006 Schedule
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Paper Detail
| Paper: | TP-L4.7 |
| Session: | Super-Resolution |
| Time: | Tuesday, October 10, 16:40 - 17:00 |
| Presentation: |
Lecture |
| Topic: |
Interpolation and Super-Resolution: Super-resolution |
| Title: |
EFFICIENT SUPER-RESOLUTION RECONSTRUCTION FOR TRANSLATIONAL MOTION USING A NEAR LEAST SQUARES RESAMPLING METHOD |
| Authors: |
Harish Essaky Sankaran; Tampere University of Technology | | | | | Atanas Gotchev; Tampere University of Technology | | | | | Karen Egiazarian; Tampere University of Technology | | |
| Abstract: |
In this paper we propose a computationally efficient method for image super-resolution reconstruction. We concentrate on pure translational motion and shift-invariant blur. This is the case of interlaced sampling where each low resolution image is uniformly sampled but the overall sampling is non-uniform with respect to the high resolution grid. The reconstruction problem is considered in a multi-resolution framework using separable B-spline wavelets as basis. This allows performing the reconstruction on a uniform higher resolution grid by digital filtering. A computationally efficient structure – the transposed modified Farrow structure is used to achieve a near least squares solution without using any matrix inversions or iterations. The reconstruction can also be performed at non-dyadic scales. Our method minimizes the aliasing distortions and gives results comparable with other least squares techniques. |
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