首页> 外文会议>Proceedings of Third International Conference on Computational Intelligence and Information Technology >Image contrast enhancement by preserving brightness using global and local features
【24h】

Image contrast enhancement by preserving brightness using global and local features

机译:通过使用全局和局部功能保留亮度来增强图像对比度

获取原文
获取原文并翻译 | 示例

摘要

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:局部加权和双向平滑直方图拉伸(WLBSHS)和局部然后双向平滑直方图拉伸(LBSHS)。 WLBSHS在加权方法中使用了本地和全局增强。局部增强的主要目的是提高目标的优势并探索本地信息。为了进行全局增强,使用了双向平滑直方图拉伸(BSHS)方法。我们将直方图分为两部分,并使用bin间隔控制机制在这两个部分上使用正向和反向伽马变换。我们开发了一种混合方法,该方法通过混合全局和局部增强来增强图像的对比度并保留其亮度。在这项研究中,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AWIE,AGCID和VHA更好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号