Kumar G Hemantha
Department of Studies in Computer Science, University of Mysore, Manasagangothri, Mysore 570006, India.
Comput Biol Med. 2007 Oct;37(10):1455-60. doi: 10.1016/j.compbiomed.2007.01.002. Epub 2007 Mar 19.
A new approach for contrast enhancement of chest radiograph image data is presented. Existing methods for image enhancement focus mainly on the properties of the image to be processed while excluding any consideration of the observer characteristics. In several applications, particularly in the medical imaging area, effective contrast enhancement for diagnostic purposes can be achieved by including certain basic human visual properties. In this paper we shall present a novel (recursive) algorithm that tailors the required amount of contrast enhancement based on a combination of the optimal phase representation and the theory of projection onto a convex set. Constraints of maximum bandwidth of the image data, appropriate knowledge of the amplitude value of the image data, heuristic limitations and level crossing measurements serve to impose additional information. So that, the enhanced image data may better converge to the good quality image.
提出了一种用于胸部X光图像数据对比度增强的新方法。现有的图像增强方法主要关注待处理图像的属性，而不考虑观察者特征。在一些应用中，特别是在医学成像领域，通过纳入某些基本的人类视觉特性，可以实现用于诊断目的的有效对比度增强。在本文中，我们将提出一种新颖的（递归）算法，该算法基于最优相位表示和凸集投影理论的组合来调整所需的对比度增强量。图像数据的最大带宽约束、对图像数据幅度值的适当了解、启发式限制和电平交叉测量用于施加额外信息。这样，增强后的图像数据可以更好地收敛到高质量图像。
