The emergence of computer-aided diagnostic technology has revolutionized the health sector and by use of medical imaging records, health experts are able to get detailed analysis which enable them in precise diagnosis of gliomas tumors. In this paper, we present an approach that uses domain-specific knowledge together with hybrid image enhancement techniques that provides resulting image(s) with more details and lesser noise levels. We did comparison of our KB proposed approach with existing techniques and the experimentation results showed improvement in quality and reduction of arbitrariness of images. The approach is proved to be feasible and effective, thus resulting in better medical diagnosis and evaluation of gliomas problems. Proposed research work recommends a new approach for medical imaging enhancements.

中文翻译：

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基于知识的图像增强和去噪方法

计算机辅助诊断技术的出现彻底改变了卫生部门，通过使用医学成像记录，卫生专家能够获得详细的分析，从而使他们能够精确诊断神经胶质瘤肿瘤。在本文中，我们提出了一种方法，该方法结合了特定领域的知识和混合图像增强技术，可为最终图像提供更多细节和更低的噪声水平。我们将KB提出的方法与现有技术进行了比较，实验结果表明，该方法可以提高质量，减少图像的任意性。该方法被证明是可行和有效的，因此可以更好地对神经胶质瘤问题进行医学诊断和评估。拟议的研究工作提出了一种增强医学成像的新方法。