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超分辨率技术的实现——一种改善的小波插值方法

田岩1,2, 田金文2, 柳健1,2, 张继贤1,2, 林宗坚1(1.华中科技大学电子与信息工程系,图象信息处理与智能控制国家教育部重点实验室,武汉 430074;2.中国测绘科学研究院,北京 100039)

摘 要
由于成像系统内部和外部的因素,使得获取的图象产生退化.为提高图象的质量,发展了一种基于小波插值方法的超分辨率技术.在简要分析若干典型插值算法的基础上,考虑到 Bézier曲面插值方法的精确性和可快速实现性,提出了基于 Bézier曲面插值的小波变换方法.该方法不仅克服了传统插值方法使图象细节退化的缺点,同时由于 Bézier曲面插值的快速实现使算法的复杂性得以有效的控制.实验结果表明了采用 Bézier曲面插值的小波方法对于改善图象分辨率的有效性和可行性.
关键词
Implementation for Super Resolution--An Improved Image Interpolation Based on Wavelet

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Abstract
Due to some inner and outer reseasons of image systerm, images which obtained by some sensors will be degraded unavoidably. As an effective technique to enhance the resolution and quality of images, Super-resolution technique is becoming a hot topic, which plays an important role in numerous applications of image processing and communication such as HDTV , target recognition ,medical image processing and so on. The main purpose of this paper is to present a feasible super resolution to improve the resolution and quality of images. A lot of approaches have been developed including interpolative method, which is a most simple and direct method of super resolution. Some classicial interpolative methods will be introduced and analysised briefly in the first part of this paper, and then wavelet thansform is shortly described in order to provide the convenience for obtaining a new interpolative scheme. Considering the powerful advantages of Bézier surface method, which is very precision and can be implemented fast, the novel method combined wavlet transform with Bézier surface is described in this paper. This method has two merits at least, first it overcomes the shortcoming of traditional methods which are usually cause the degrading for image details, at the same time, this method is not complex due to the fast implementation of the Bézier surface interpolation. The experimental results show the computational feasibility of this method.
Keywords

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