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Nonlinear technique for the enhancement of extremely high contrast color images

机译:非线性技术,用于增强极高对比度的彩色图像

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An adaptive technique for image enhancement based on a specifically designed nonlinear function is presented in this paper. The enhancement technique constitutes three main processes-adaptive intensity enhancement, contrast adjustment, and color restoration. A sine function with an image dependent parameter is used to tune the intensity of each pixel in the luminance image. This process provides dynamic range compression by boosting the luminance of darker pixels while reducing the intensity of brighter pixels and maintaining local contrast. The normalized reflectance image is added to the enhanced image to preserve the details. The quality of the enhanced image is improved by applying a local contrast enhancement followed by a contrast stretch process. A basic linear color restoration process based on the chromatic information of the original image is employed to convert the enhanced intensity image back to a color image. The performance of the algorithm is compared with other state of the art enhancement techniques and evaluated using a statistical image quality evaluation method.
机译:本文提出了一种基于专门设计的非线性函数的自适应图像增强技术。增强技术包括三个主要过程-自适应强度增强,对比度调整和颜色恢复。具有依赖于图像的参数的正弦函数用于调整亮度图像中每个像素的强度。此过程通过提高较暗像素的亮度,同时降低较亮像素的强度并保持局部对比度,提供了动态范围压缩。将归一化的反射率图像添加到增强图像中以保留细节。通过应用局部对比度增强,然后进行对比度拉伸过程,可以提高增强图像的质量。采用基于原始图像的色度信息的基本线性颜色恢复处理,以将增强强度图像转换回彩色图像。将算法的性能与其他现有技术的增强技术进行比较,并使用统计图像质量评估方法进行评估。

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