School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia.
Comput Methods Programs Biomed. 2012 Jun;106(3):201-9. doi: 10.1016/j.cmpb.2010.11.012. Epub 2011 Jan 3.
Reducing noise in medical images has been an important issue of research and development for medical diagnosis, patient treatment, and validation of biomedical hypotheses. Noise inherently exists in medical and biological images due to the acquisition and transmission in any imaging devices. Being different from image enhancement, the purpose of image restoration is the process of removing noise from a degraded image in order to recover as much as possible its original version. This paper presents a statistically supervised approach for medical image restoration using the concept of multiple-point geostatistics. Experimental results have shown the effectiveness of the proposed technique which has potential as a new methodology for medical and biological image processing.
降低医学图像中的噪声一直是医学诊断、患者治疗和生物医学假说验证等领域的重要研究和开发课题。由于在任何成像设备中进行采集和传输，噪声在医学和生物学图像中是固有的。与图像增强不同，图像恢复的目的是从降质图像中去除噪声，以便尽可能恢复其原始版本。本文提出了一种基于多点地质统计学概念的医学图像恢复的统计监督方法。实验结果表明了所提出技术的有效性，它有可能成为医学和生物学图像处理的一种新方法。
