Ringing Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map
- Authors
- Kim, Sangjin; Jun, Sinyoung; Lee, Eunsung; Shin, Jeongho; Paik, Joonki
- Issue Date
- Dec-2009
- Publisher
- SPRINGER-VERLAG BERLIN
- Keywords
- Ringing Artifact; Multi-Resolution Edge Map; Discrete Wavelet Transform
- Citation
- SIGNAL PROCESSING, IMAGE PROCESSING, AND PATTERN RECOGNITION, v.61, pp 221 - 227
- Pages
- 7
- Journal Title
- SIGNAL PROCESSING, IMAGE PROCESSING, AND PATTERN RECOGNITION
- Volume
- 61
- Start Page
- 221
- End Page
- 227
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47765
- DOI
- 10.1007/978-3-642-10546-3_27
- ISSN
- 1865-0929
1865-0937
- Abstract
- This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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