Image Interpolation Algorithm Based on Structure Component Bidirectional Diffusion

Jia Qian; Yi Ben-Shun; Xiao  Jin-Sheng

doi:10.3724/SP.J.1146.2014.00255

Volume 36 Issue 11

Dec. 2014

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Article Navigation > Journal of Electronics & Information Technology > 2014 > 36(11): 2541-2548

Jia Qian, Yi Ben-Shun, Xiao Jin-Sheng. Image Interpolation Algorithm Based on Structure Component Bidirectional Diffusion[J]. Journal of Electronics & Information Technology, 2014, 36(11): 2541-2548. doi: 10.3724/SP.J.1146.2014.00255

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Jia Qian, Yi Ben-Shun, Xiao Jin-Sheng. Image Interpolation Algorithm Based on Structure Component Bidirectional Diffusion[J]. Journal of Electronics & Information Technology, 2014, 36(11): 2541-2548. doi: 10.3724/SP.J.1146.2014.00255

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Image Interpolation Algorithm Based on Structure Component Bidirectional Diffusion

doi: 10.3724/SP.J.1146.2014.00255

Received Date: 2014-02-26
Rev Recd Date: 2014-07-03
Publish Date: 2014-11-19

Abstract

Abstract

An image interpolation method based on structure component bidirectional diffusion is proposed in this paper, by which the edge diffusion in image magnification is effectively decreased and the sharpening edges are generated. In this method, the edges are enhanced by using the advanced coupling of bidirectional diffusion filter after contour stencils interpolation. In order to deal with the edge contours more precisely, the structure component of initial interpolated image is filtered after separating from the initial interpolated image via Morphological Component Analysis (MCA). Furthermore, the coupling of bidirectional filter is improved to adaptively adjust the edge diffusion degree according to the edge gradient, and to control pixels value change along gradient direction more gently. The experimental results show that, the proposed method outperforms other comparing algorithms including the traditional interpolation algorithm and the related edge adaptive interpolation algorithms and several widely-used commercial software in terms of both objective and visual quality of the interpolation image. The method enhances the image sharpness effectively, and gains smooth edges, nature transition, also avoids producing the edge aliasing and overshoot artifacts.
- Image processing,
- Image interpolation,
- Bidirectional diffusion,
- Morphological Component Analysis (MCA),
- Edge enhance

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References(21)

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