An Efficient and Self-Adapted Approach to the Sharpening of Color Images
An efficient approach to the sharpening of color images is proposed in this paper. For this, the image to be sharpened is first transformed to the HSV color model, and then only the channel of Value will be used for the process of sharpening while the other channels are left unchanged. We then apply...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/105945 |
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| author | Lih-Jen Kau Tien-Lin Lee |
| author_facet | Lih-Jen Kau Tien-Lin Lee |
| author_sort | Lih-Jen Kau |
| collection | DOAJ |
| description | An efficient approach to the sharpening of color images is proposed in this paper. For this, the image to be sharpened is first transformed to the HSV color model, and then only the channel of Value will be used for the process of sharpening while the other channels are left unchanged. We then apply a proposed edge detector and low-pass filter to the channel of Value to pick out pixels around boundaries. After that, those pixels detected as around edges or boundaries are adjusted so that the boundary can be sharpened, and those nonedge pixels are kept unaltered. The increment or decrement magnitude that is to be added to those edge pixels is determined in an adaptive manner based on global statistics of the image and local statistics of the pixel to be sharpened. With the proposed approach, the discontinuities can be highlighted while most of the original information contained in the image can be retained. Finally, the adjusted channel of Value and that of Hue and Saturation will be integrated to get the sharpened color image. Extensive experiments on natural images will be given in this paper to highlight the effectiveness and efficiency of the proposed approach. |
| format | Article |
| id | doaj-art-50b974c7143543efb0a2229cd8dff39d |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-50b974c7143543efb0a2229cd8dff39d2025-02-03T01:31:30ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/105945105945An Efficient and Self-Adapted Approach to the Sharpening of Color ImagesLih-Jen Kau0Tien-Lin Lee1Department of Electronic Engineering & Graduate Institute of Computer and Communication Engineering, National Taipei University of Technology, No. 1 Section 3, Chung-Hsiao E. Road, Taipei 10608, TaiwanDepartment of Electronic Engineering & Graduate Institute of Computer and Communication Engineering, National Taipei University of Technology, No. 1 Section 3, Chung-Hsiao E. Road, Taipei 10608, TaiwanAn efficient approach to the sharpening of color images is proposed in this paper. For this, the image to be sharpened is first transformed to the HSV color model, and then only the channel of Value will be used for the process of sharpening while the other channels are left unchanged. We then apply a proposed edge detector and low-pass filter to the channel of Value to pick out pixels around boundaries. After that, those pixels detected as around edges or boundaries are adjusted so that the boundary can be sharpened, and those nonedge pixels are kept unaltered. The increment or decrement magnitude that is to be added to those edge pixels is determined in an adaptive manner based on global statistics of the image and local statistics of the pixel to be sharpened. With the proposed approach, the discontinuities can be highlighted while most of the original information contained in the image can be retained. Finally, the adjusted channel of Value and that of Hue and Saturation will be integrated to get the sharpened color image. Extensive experiments on natural images will be given in this paper to highlight the effectiveness and efficiency of the proposed approach.http://dx.doi.org/10.1155/2013/105945 |
| spellingShingle | Lih-Jen Kau Tien-Lin Lee An Efficient and Self-Adapted Approach to the Sharpening of Color Images The Scientific World Journal |
| title | An Efficient and Self-Adapted Approach to the Sharpening of Color Images |
| title_full | An Efficient and Self-Adapted Approach to the Sharpening of Color Images |
| title_fullStr | An Efficient and Self-Adapted Approach to the Sharpening of Color Images |
| title_full_unstemmed | An Efficient and Self-Adapted Approach to the Sharpening of Color Images |
| title_short | An Efficient and Self-Adapted Approach to the Sharpening of Color Images |
| title_sort | efficient and self adapted approach to the sharpening of color images |
| url | http://dx.doi.org/10.1155/2013/105945 |
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