Abstract
The performance limitation of linear equalizers is studied for the structural similarity (SSIM) criteria. Given a blurring filter and an image with zero mean, the closed form formula is obtained to compute the maximal SSIM index and the corresponding optimal linear equalizer. The formula shows that the equalizer with maximal SSIM index is equal to the one with minimal mean square error (MSE) multiplied by a positive real number. Numerical examples are given to demonstrate the theoretical results.
| Original language | English |
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| Title of host publication | 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| Subtitle of host publication | 4 - 9 May 2014, Florence, Italy |
| Editors | Abdelhak Zoubir, Mauro Barni |
| Place of Publication | Piscataway NJ |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 1220-1224 |
| Number of pages | 5 |
| ISBN (Print) | 9781479928927 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | IEEE International Conference on Acoustics, Speech and Signal Processing 2014 - Florence, Italy Duration: 4 May 2014 → 9 May 2014 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6844297 (Conference Proceedings) |
Conference
| Conference | IEEE International Conference on Acoustics, Speech and Signal Processing 2014 |
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| Abbreviated title | ICASSP 2014 |
| Country/Territory | Italy |
| City | Florence |
| Period | 4/05/14 → 9/05/14 |
| Internet address |
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Keywords
- image restoration
- linear equalizer
- performance limitation
- Structure similarity