Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chae, Sung-Ho | - |
dc.contributor.author | Kim, Sung-Tae | - |
dc.contributor.author | Kim, Joon-Yeon | - |
dc.contributor.author | Yoo, Cheol-Hwan | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.date.accessioned | 2021-09-01T22:40:48Z | - |
dc.date.available | 2021-09-01T22:40:48Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/68885 | - |
dc.description.abstract | 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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | STRIPE | - |
dc.subject | ERROR | - |
dc.title | Selective Sampling and Optimal Filtering for Subpixel-Based Image Down-Sampling | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Sung-Jea | - |
dc.identifier.doi | 10.1109/ACCESS.2019.2938255 | - |
dc.identifier.scopusid | 2-s2.0-85078302539 | - |
dc.identifier.wosid | 000487837100009 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.7, pp.124096 - 124105 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 7 | - |
dc.citation.startPage | 124096 | - |
dc.citation.endPage | 124105 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | STRIPE | - |
dc.subject.keywordPlus | ERROR | - |
dc.subject.keywordAuthor | Aliasing | - |
dc.subject.keywordAuthor | color-fringing | - |
dc.subject.keywordAuthor | frequency domain analysis | - |
dc.subject.keywordAuthor | image down-sampling | - |
dc.subject.keywordAuthor | optimal filtering | - |
dc.subject.keywordAuthor | selective sampling | - |
dc.subject.keywordAuthor | subpixel rendering | - |
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