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Image contrast enhancement by preserving brightness using global and local features

机译:通过使用全局和本地特征保留亮度来通过保持亮度来增强图像对比度

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Image enhancement is one of the most significant techniques in digital image processing. This paper introduces two image enhancement methods, Weighted of Local and Bidirectional Smooth Histogram Stretching (WLBSHS) and Local then Bidirectional Smooth Histogram Stretching (LBSHS). WLBSHS uses local and global enhancement in weighted approach. Main purpose of local enhancement is sharpening edges of objective and exploring local information. For global enhancement, Bidirectional Smooth Histogram Stretching (BSHS) method is used. We divide the histogram in two parts and use forward and backward gamma transform on these parts, with bin interval control mechanism. We develop the hybrid method which is use to enhance the contrast of image with preserving its brightness by making the mixture of global and local enhancement. In this research we considered AMBE, E, PSNR EME, BR parameters for evaluating the enhanced image. This hybrid method is found to be better than AWIE, AGCID and VHA.
机译:图像增强是数字图像处理中最重要的技术之一。 本文介绍了两种图像增强方法,局部和双向平滑直方图拉伸(WLBSHS)和局部双向平滑直方图拉伸(LBSHs)的加权。 WLBSHS使用加权方法的本地和全球增强。 局部增强的主要目的是锐化目标和探索当地信息的边缘。 对于全球增强,使用双向平滑直方图拉伸(BSHS)方法。 我们将直方图分为两部分,并在这些部件上使用向前和后向伽马变换,具有箱间隔控制机制。 我们开发混合方法,用于通过制造全球和局部增强的混合物来增强图像的对比度。 在本研究中,我们考虑了AMBE,E,PSNR EME,BR参数来评估增强图像。 发现这种混合方法比唤醒,痛苦和VHA更好。

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