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A Color Image Enhancement Technique Using Multiscale Retinex

机译:使用多尺度Retinex的彩色图像增强技术

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摘要

In this work we develop a new technique to enhance color images using multiscale retinex theory. The proposed technique consists of four major steps. In first step Principal Component Analysis (PCA) is used on the input colored image to obtain the luminance channel. In second step luminance channel is enhanced using multiscale retinex. In third step the ratio of enhanced luminance to the original luminance is calculated. Meanwhile new red, green and blue values of images are computed by multiplying the luminance ratio with initial red, green and blue values of the colored image. In fourth step, contrast stretching is performed on each red, green and blue channel separately. Detailed experiments were performed on 81 colored images having non-uniform luminance. The results of proposed technique show that the brightness and the overall visual appearance of the image are increased as compared to conventional methods such as histogram equalization, histogram specification and gamma correction with less execution time.
机译:在这项工作中,我们开发了一种使用多尺度retinex理论增强彩色图像的新技术。拟议的技术包括四个主要步骤。第一步,对输入的彩色图像使用主成分分析(PCA)以获得亮度通道。第二步,使用多尺度retinex增强亮度通道。在第三步骤中,计算增强亮度与原始亮度的比率。同时,通过将亮度比乘以彩色图像的初始红色,绿色和蓝色值来计算图像的新的红色,绿色和蓝色值。在第四步骤中,分别在每个红色,绿色和蓝色通道上执行对比度拉伸。对亮度不均匀的81幅彩色图像进行了详细的实验。所提出技术的结果表明,与传统方法(例如直方图均衡,直方图指定和伽玛校正)相比,图像的亮度和整体视觉外观得到了提高,并且执行时间更短。

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