Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling
Subpixel-based image down-sampling has been widely used to improve the apparent resolution of down-sampled images on display. However, previous subpixel rendering methods often introduce distortions, such as aliasing and color-fringing. This study proposes a novel subpixel rendering method that uses...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8819919/ |
| _version_ | 1818855485242081280 |
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| author | Sung-Ho Chae Sung-Tae Kim Joon-Yeon Kim Cheol-Hwan Yoo Sung-Jea Ko |
| author_facet | Sung-Ho Chae Sung-Tae Kim Joon-Yeon Kim Cheol-Hwan Yoo Sung-Jea Ko |
| author_sort | Sung-Ho Chae |
| collection | DOAJ |
| description | Subpixel-based image down-sampling has been widely used to improve the apparent resolution of down-sampled images on display. However, previous subpixel rendering methods often introduce distortions, such as aliasing and color-fringing. This study proposes a novel subpixel rendering method that uses selective sampling and optimal filtering. We first generalize the previous frequency domain analysis results indicating the relationships between various down-sampling patterns and the aliasing artifact. Based on this generalized analysis, a subpixel-based down-sampling pattern for each image is selectively determined by utilizing the edge distribution of the image. Moreover, we investigate the origin of the color-fringing artifact in the frequency domain. Optimal spatial filters that can effectively remove distortions caused by the selected down-sampling pattern are designed via frequency domain analyses of aliasing and color-fringing. The experimental results show that the proposed method is not only robust to the aliasing and color-fringing artifacts but also outperforms the existing ones in terms of information preservation. |
| first_indexed | 2024-12-19T08:09:21Z |
| format | Article |
| id | doaj.art-b9c2dde0827144d89448544518e3afdc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T08:09:21Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b9c2dde0827144d89448544518e3afdc2022-12-21T20:29:40ZengIEEEIEEE Access2169-35362019-01-01712409612410510.1109/ACCESS.2019.29382558819919Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-SamplingSung-Ho Chae0https://orcid.org/0000-0002-8037-1973Sung-Tae Kim1Joon-Yeon Kim2Cheol-Hwan Yoo3Sung-Jea Ko4School of Electrical Engineering, Korea University, Seoul, South KoreaSchool of Electrical Engineering, Korea University, Seoul, South KoreaSchool of Electrical Engineering, Korea University, Seoul, South KoreaSchool of Electrical Engineering, Korea University, Seoul, South KoreaSchool of Electrical Engineering, Korea University, Seoul, South KoreaSubpixel-based image down-sampling has been widely used to improve the apparent resolution of down-sampled images on display. However, previous subpixel rendering methods often introduce distortions, such as aliasing and color-fringing. This study proposes a novel subpixel rendering method that uses selective sampling and optimal filtering. We first generalize the previous frequency domain analysis results indicating the relationships between various down-sampling patterns and the aliasing artifact. Based on this generalized analysis, a subpixel-based down-sampling pattern for each image is selectively determined by utilizing the edge distribution of the image. Moreover, we investigate the origin of the color-fringing artifact in the frequency domain. Optimal spatial filters that can effectively remove distortions caused by the selected down-sampling pattern are designed via frequency domain analyses of aliasing and color-fringing. The experimental results show that the proposed method is not only robust to the aliasing and color-fringing artifacts but also outperforms the existing ones in terms of information preservation.https://ieeexplore.ieee.org/document/8819919/Aliasingcolor-fringingfrequency domain analysisimage down-samplingoptimal filteringselective sampling |
| spellingShingle | Sung-Ho Chae Sung-Tae Kim Joon-Yeon Kim Cheol-Hwan Yoo Sung-Jea Ko Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling IEEE Access Aliasing color-fringing frequency domain analysis image down-sampling optimal filtering selective sampling |
| title | Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling |
| title_full | Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling |
| title_fullStr | Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling |
| title_full_unstemmed | Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling |
| title_short | Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling |
| title_sort | selective sampling and optimal filtering for subpixel based image down sampling |
| topic | Aliasing color-fringing frequency domain analysis image down-sampling optimal filtering selective sampling |
| url | https://ieeexplore.ieee.org/document/8819919/ |
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