An Edge-Guided Image Interpolation Method Using Taylor Series Approximation
- Authors
- Lee, Seung-Jun; Kang, Mun-Cheon; Uhm, Kwang-Hyun; Ko, Sung-Jea
- Issue Date
- 5월-2016
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Image interpolation; edge-guided interpolation; directional derivatives; Taylor series approximation
- Citation
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.62, no.2, pp.159 - 165
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Volume
- 62
- Number
- 2
- Start Page
- 159
- End Page
- 165
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/88853
- ISSN
- 0098-3063
- Abstract
- In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first-and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity(1).
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.