Color restoration of images through high order zeroing neural networks
One of the fundamental tasks in pattern recognition is color image restoration. Every color image has three channels in the RGB color space, in contrast to grayscale images. The restoration of color images is typically far more challenging than that of grayscale images because of the internal relati...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_01005.pdf |
| _version_ | 1797333964122226688 |
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| author | Mourtas Spyridon D. |
| author_facet | Mourtas Spyridon D. |
| author_sort | Mourtas Spyridon D. |
| collection | DOAJ |
| description | One of the fundamental tasks in pattern recognition is color image restoration. Every color image has three channels in the RGB color space, in contrast to grayscale images. The restoration of color images is typically far more challenging than that of grayscale images because of the internal relationships among the three channels. Given that the color image restoration can be represented as a dynamic problem with quaternion matrices, a new high order zeroing neural network (HZNN) model is developed to tackle this issue. Specifically, the time-varying quaternion matrix linear equations can be solved using the HZNN design, which is a member of the family of zeroing neural network (ZNN) models that correlate to hyperpower iterative techniques. In a realistic color image restoration application, the HZNN design outperforms the ZNN design, although both approaches work amazingly well. |
| first_indexed | 2024-03-08T08:13:48Z |
| format | Article |
| id | doaj.art-bc05f4c0a2154c96aa9dbc24a11e7932 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-03-08T08:13:48Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-bc05f4c0a2154c96aa9dbc24a11e79322024-02-02T08:04:05ZengEDP SciencesITM Web of Conferences2271-20972024-01-01590100510.1051/itmconf/20245901005itmconf_hmmocs2023_01005Color restoration of images through high order zeroing neural networksMourtas Spyridon D.0Department of Economics, Division of Mathematics-Informatics and Statistics-Econometrics, National and Kapodistrian University of AthensOne of the fundamental tasks in pattern recognition is color image restoration. Every color image has three channels in the RGB color space, in contrast to grayscale images. The restoration of color images is typically far more challenging than that of grayscale images because of the internal relationships among the three channels. Given that the color image restoration can be represented as a dynamic problem with quaternion matrices, a new high order zeroing neural network (HZNN) model is developed to tackle this issue. Specifically, the time-varying quaternion matrix linear equations can be solved using the HZNN design, which is a member of the family of zeroing neural network (ZNN) models that correlate to hyperpower iterative techniques. In a realistic color image restoration application, the HZNN design outperforms the ZNN design, although both approaches work amazingly well.https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_01005.pdf |
| spellingShingle | Mourtas Spyridon D. Color restoration of images through high order zeroing neural networks ITM Web of Conferences |
| title | Color restoration of images through high order zeroing neural networks |
| title_full | Color restoration of images through high order zeroing neural networks |
| title_fullStr | Color restoration of images through high order zeroing neural networks |
| title_full_unstemmed | Color restoration of images through high order zeroing neural networks |
| title_short | Color restoration of images through high order zeroing neural networks |
| title_sort | color restoration of images through high order zeroing neural networks |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_01005.pdf |
| work_keys_str_mv | AT mourtasspyridond colorrestorationofimagesthroughhighorderzeroingneuralnetworks |