Sciweavers

18
Voted
ACCV
1998
Springer

Comparison of Mean Field Annealing and Multiresolution Analysis in Missing Data Estimation

13 years 10 months ago
Comparison of Mean Field Annealing and Multiresolution Analysis in Missing Data Estimation
The project we are working on is to help develop and test a low cost, large area, high resolution X-ray detection system with a high dynamic range. The large area is achieved by butting two or more scintillator/fiber/CCD combinations together. An algorithm is thus required to compensate the defects come from the detector induced errors including missing single pixel due to individual defective detectors or missing column(s)/row(s) due to misalignment of adjacent CCD's in the blurred and noise corrupted images. Mean field annealing, as a global optimization technique, is the proposed algorithm. This paper, however, proposes a new approach based on multiresolution analysis where the defect compensation is implemented by removing the characteristics created by the missing columns/rows from the detail images of lower resolution. Experiments will be carried out to compare the performance of these two approaches. Future research directions are discussed at last.
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where ACCV
Authors Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
Comments (0)