Robust Color Image Superresolution: An Adaptive M-Estimation Framework
This paper introduces a new color image superresolution algorithm in an adaptive, robust M-estimation framework. Using a robust error norm in the objective function, and adapting the estimation process to each of the low-resolution frames, the proposed method effectively suppresses the outliers due...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2008-03-01
|
| Series: | EURASIP Journal on Image and Video Processing |
| Online Access: | http://dx.doi.org/10.1155/2008/763254 |
| _version_ | 1828498879185682432 |
|---|---|
| author | Panos E. Papamichalis Noha A. El-Yamany |
| author_facet | Panos E. Papamichalis Noha A. El-Yamany |
| author_sort | Panos E. Papamichalis |
| collection | DOAJ |
| description | This paper introduces a new color image superresolution algorithm in an adaptive, robust M-estimation framework. Using a robust error norm in the objective function, and adapting the estimation process to each of the low-resolution frames, the proposed method effectively suppresses the outliers due to violations of the assumed observation model, and results in color superresolution estimates with crisp details and no color artifacts, without the use of regularization. Experiments on both synthetic and real sequences demonstrate the superior performance over using the L2 and L1 error norms in the objective function. |
| first_indexed | 2024-12-11T13:13:56Z |
| format | Article |
| id | doaj.art-3ecaa844ca8342b3be3c9403dfb6723a |
| institution | Directory Open Access Journal |
| issn | 1687-5176 1687-5281 |
| language | English |
| last_indexed | 2024-12-11T13:13:56Z |
| publishDate | 2008-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Image and Video Processing |
| spelling | doaj.art-3ecaa844ca8342b3be3c9403dfb6723a2022-12-22T01:06:06ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812008-03-01200810.1155/2008/763254Robust Color Image Superresolution: An Adaptive M-Estimation FrameworkPanos E. PapamichalisNoha A. El-YamanyThis paper introduces a new color image superresolution algorithm in an adaptive, robust M-estimation framework. Using a robust error norm in the objective function, and adapting the estimation process to each of the low-resolution frames, the proposed method effectively suppresses the outliers due to violations of the assumed observation model, and results in color superresolution estimates with crisp details and no color artifacts, without the use of regularization. Experiments on both synthetic and real sequences demonstrate the superior performance over using the L2 and L1 error norms in the objective function.http://dx.doi.org/10.1155/2008/763254 |
| spellingShingle | Panos E. Papamichalis Noha A. El-Yamany Robust Color Image Superresolution: An Adaptive M-Estimation Framework EURASIP Journal on Image and Video Processing |
| title | Robust Color Image Superresolution: An Adaptive M-Estimation Framework |
| title_full | Robust Color Image Superresolution: An Adaptive M-Estimation Framework |
| title_fullStr | Robust Color Image Superresolution: An Adaptive M-Estimation Framework |
| title_full_unstemmed | Robust Color Image Superresolution: An Adaptive M-Estimation Framework |
| title_short | Robust Color Image Superresolution: An Adaptive M-Estimation Framework |
| title_sort | robust color image superresolution an adaptive m estimation framework |
| url | http://dx.doi.org/10.1155/2008/763254 |
| work_keys_str_mv | AT panosepapamichalis robustcolorimagesuperresolutionanadaptivemestimationframework AT nohaaelyamany robustcolorimagesuperresolutionanadaptivemestimationframework |