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A novel approach for color image enhancement based on NTF

机译:基于NTF的彩色图像增强新方法

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A modified technique for image enhancement based on a specifically designed nonlinear transfer function (NTF) is presented in this paper. The proposed algorithm improves the visual quality of digital images captured under non-uniform illuminated condition. This paper proposes a method for enhancing the color images based on nonlinear transfer function. The present study exploits Hue-Saturation-Value (HSV) color space, since the HSV space separates color from intensity. The image enhancement technique is applied to the value component of the image, and saturation component is enhanced by stretching its dynamic range to get rich color display. The hue component has been kept constant in order to avoid color distortion. In this work, the value component of the HSV has been modified in two steps. First, the non-linear transfer function is applied on the overlapping and nonoverlapping window in order to enhance luminance part of the image. Further, the 2-D Gaussian filter has been used for contrast enhancement. The modified value is combined with preserved hue and enhanced saturation components in order to obtain enhanced HSV image. Finally, the image from HSV color space is converted into RGB color space. The subjective and objective evaluation shows that this method yields better result than other conventional enhancement methods.
机译:本文提出了一种经过改进的基于特殊设计的非线性传递函数(NTF)的图像增强技术。所提出的算法提高了在不均匀照明条件下捕获的数字图像的视觉质量。提出了一种基于非线性传递函数的彩色图像增强方法。由于HSV空间将颜色与强度分开,因此本研究利用了色相饱和度值(HSV)颜色空间。将图像增强技术应用于图像的值分量,并通过扩展其动态范围以增强色彩显示来增强饱和度分量。为了避免色彩失真,色相分量保持恒定。在这项工作中,HSV的价值成分已分两步进行了修改。首先,将非线性传递函数应用于重叠和不重叠的窗口,以增强图像的亮度部分。此外,二维高斯滤波器已经用于对比度增强。修改后的值与保留的色相和增强的饱和度分量结合在一起,以获得增强的HSV图像。最后,将HSV颜色空间中的图像转换为RGB颜色空间。主观和客观评估表明,该方法比其他常规增强方法产生更好的结果。

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