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A Modified Multi Scale Retinex with Color Restoration Algorithm for Automatic Enhancement of Landsat-5 Remote Sensing Image

机译:一种改进的带有色彩恢复算法的多尺度Retinex,用于Landsat-5遥感图像的自动增强

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The retinex is a human perception based image processing algorithm which provides color constancy and dynamic range compression.The multi scale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition.But the MSRCR results suffer from lower global brightness and partial color distortion.In order to improve the MSRCR method, this paper presents a modified MSRCR algorithm to Landsat-5 image enhancement considering percent liner stretch and histogram adjustment.Finally, the effect of modified MSRCR method on Landsat-5 image enhancement is analyzed and the comparison with other color adjustment methods such as gamma correction and histogram equalization is reported in the experimental results.
机译:retinex是一种基于人类感知的图像处理算法,可提供色彩恒定性和动态范围压缩。带有色彩恢复的多尺度retinex(MSRCR)本身显示出是一种非常通用的自动图像增强算法,可同时提供动态范围压缩和色彩恒定性但是为了改善MSRCR方法,本文提出了一种改进的MSRCR算法,用于考虑Landsat-5图像增强,该算法考虑了线性拉伸百分比和直方图调整。分析了改进的MSRCR方法对Landsat-5图像增强的影响,并在实验结果中报告了与其他颜色调整方法(如伽马校正和直方图均衡化)的比较。

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