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Content-based Algorithm for Color Image Enhancement Using Fuzzy Technique Research centre: LBS Institute for Science and Technology

机译:基于内容的彩色图像增强算法使用模糊技术研究中心:LBS科学与技术研究所

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摘要

Fuzzy technique offers interesting and challenging frame for developing new methods in the field of image processing. Nowadays, enhancing color images is considered as one of such demanding work in image processing. This paper introduces the nonlinear and knowledge-based behavior of fuzzy technique to enhance color images referred as ‘content-based algorithm.’ The resulting image not only exposes the fine details but also enhances the images by processing the approximate components of the image in human visual system with content-based algorithm in fuzzy domain. The knowledge-based characteristics of both ‘fuzzy technique’ and ‘color’ coincide effectively to get better experimental results in this field. Also, the subjective and objective evaluations listed over here show that this algorithm performs better than any other existing fuzzy and non-fuzzy approach.
机译:模糊技术为在图像处理领域开发新方法提供有趣和挑战性的框架。如今,增强彩色图像被认为是在图像处理中如此苛刻的工作之一。本文介绍了模糊技术的非线性和知识的行为,以增强被称为“基于内容的算法的彩色图像”。所得到的图像不仅暴露精细的细节,还通过处理人类中图像的近似分量来增强图像基于内容的模糊域算法的视觉系统。基于知识的“模糊技术”和“颜色”的特征有效地重合,以获得更好的实验结果。此外,在此列出的主观和客观评估表明,该算法比任何其他现有的模糊和非模糊方法更好地执行。

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