【作者】 史东滨；

【导师】 万毅；

【作者基本信息】 兰州大学 ， 通信与信息系统， 2009， 硕士

【摘要】 直方图规定化技术,作为图像增强技术的一个重要工具,尽管在连续域上有了精确结果。但对离散域的数字图像,却很难得到精确结果。近期,一种基于局部像素灰度的精确排序算法解决了精确直方图规定化问题。但是,鉴于该方法在保留图像细节和运行速度方面的不足,本文提出了一种基于小波技术的精确直方图规定化算法。实验结果表明,本文提出的算法在保留图像细节和提高运行速度方面都较原算法有所改进,并取得了较好的效果。此外,在文中对本文提出的算法的排序失误率,给出了合理的分析模型。更多还原

【Abstract】 Histogram specification (equalization) is an important tool for tasks such as image enhancement. Although this problem has exact solution for continuous images, in the case of digital images, it is ill posed.Recently, an exact pixel ordering method based solely on local image intensity was proposed, yet still with some limitations, especially since it ignores the important image edge information. In this paper, we present a wavelet-based method that simultaneously achieves the exact histogram specification and good image enhancement performance. It does so through a carefully designed strict pixel ordering process, during which the wavelet coefficients are fine tuned for the image enhancement purpose. Compared to previous work, this approach takes into account not only local mean intensity values, but also local edge information. Experimental results and comparison with state-of-the-art methods are presented.更多还原