Gradient-based edge preserving interpolation and its application to super-resolution

被引:0
|
作者
Iwamoto, Yutaro [1 ]
Han, Xian-Hua [1 ]
Tateyama, Tomoko [1 ,2 ]
Ohashi, Motonori [1 ]
Sasatani, So [1 ]
Chen, Yen-Wei [1 ,2 ]
机构
[1] Ritsumeikan Univ, Intelligent Image Proc Lab, Tokyo, Japan
[2] Ritsumeikan Univ, Coll Informat Sci & Engn, Tokyo, Japan
关键词
interpolation; gradient-based edge preservation; reconstruction-based super-resolution;
D O I
10.1002/ecj.11413
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Super-resolution is a process for obtaining high-quality, high-resolution images from one or a set of low-resolution images. The most practical methods for image super-resolution are reconstruction-based methods, which minimize the difference between observed low-resolution images and the estimate for high-resolution images. Therein, the interpolation step plays a key role in the estimated high-resolution image quality. Usually, the conventional bilinear or bicubic methods are used in reconstruction-based super-resolution. However, these conventional interpolations generally lead to blurring in edge regions and need more time for convergence in the reconstruction-based super-resolution method. Therefore, this paper proposes a gradient-based edge-preserving interpolation method, which can reduce not only artifact noise but also blurring near the edge regions in the estimated high-resolution image. Furthermore, our proposed interpolation method can also solve high-complexity, time-consuming problems in the recently developed new edge-directed interpolation, which usually can achieve sharp edges in the high-resolution reconstructed image. Experiments confirm that our proposed interpolation method for image super-resolution is more effective than the conventional interpolation methods. (c) 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 96(1): 4350, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11413
引用
收藏
页码:43 / 50
页数:8
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