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Low Complexity Hybrid Interpolation Algorithm using Weighted Edge Detector  

Kwon, Hyeok-Jin (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Jeon, Gwang-Gil (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Jeong, Je-Chang (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.3C, 2007 , pp. 241-248 More about this Journal
Abstract
In predictive image coding, a LS (Least Squares)-based adaptive predictor is an efficient method to improve image edge predictions. This paper proposes a hybrid interpolation with weighted edge detector. A hybrid approach of switching between bilinear interpolation and EDI (Edge-Directed Interpolation) is proposed in order to reduce the overall computational complexity The objective and subjective quality is also similar to the bilinear interpolation and EDI. Experimental results demonstrate that this hybrid interpolation method that utilizes a weighted edge detector can achieve reduction in complexity with minimal degradation in the interpolation results.
Keywords
Hybrid Interpolation; Edge Detector; Geometric Duality; EDI; SSIM index;
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