Multidirectional edge-directed interpolation with region division for natural images

Yujin Yun; Jonghyun Bae; Jaeseok Kim

doi:10.1117/1.OE.51.4.040503

Multidirectional edge-directed interpolation with region division for natural images

Yujin Yun, Jonghyun Bae, Jaeseok Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

A multidirectional edge-directed interpolation algorithm that features a region division method is proposed. In the proposed method, an interpolation pixel is newly modeled as a weighted sum of 12 neighboring pixels representing 12 different directions. Each weight is estimated by Wiener filter theory using geometric duality. The proposed method for dividing the interpolation region reduces the heavy computational complexity of the proposed model. Analyzing edge continuities, the model divides an image into three regions, and only strong edge regions are interpolated. Simulation results show that several directional edges are restored clearly in a subjective test, with fair performance in an objective test.

Original language	English
Article number	040503
Journal	Optical Engineering
Volume	51
Issue number	4
DOIs	https://doi.org/10.1117/1.OE.51.4.040503
Publication status	Published - 2012 Apr

Bibliographical note

Funding Information:
This work was supported by the Mid-career Researcher Program through an NRF grant funded by the MEST (2011-0027515), and partially supported by the Ministry of Knowledge Economy (MKE, Korea) and IDEC/IDEC Platform Center (IPC) at Hanyang University.

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Engineering(all)

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10.1117/1.OE.51.4.040503

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abstract = "A multidirectional edge-directed interpolation algorithm that features a region division method is proposed. In the proposed method, an interpolation pixel is newly modeled as a weighted sum of 12 neighboring pixels representing 12 different directions. Each weight is estimated by Wiener filter theory using geometric duality. The proposed method for dividing the interpolation region reduces the heavy computational complexity of the proposed model. Analyzing edge continuities, the model divides an image into three regions, and only strong edge regions are interpolated. Simulation results show that several directional edges are restored clearly in a subjective test, with fair performance in an objective test.",

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Multidirectional edge-directed interpolation with region division for natural images

Abstract

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