基于双窗口概念的彩色图像增强新方法

S. Setty, N. K. Srinath, M. C. Hanumantharaju
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引用次数: 0

摘要

本文提出了一种基于双窗口的亮度增强和对比度增强的彩色图像增强方法。该方法利用HSV (Hue-Saturation-Value)色彩空间将色彩与强度分离开来。色调和饱和度成分保持不变,以避免颜色失真。本文分两步对HSV的值分量进行了修改。首先,在重叠和非重叠窗口上应用非线性传递函数,增强图像的亮度部分;此外,二维高斯滤波器被用于对比度增强。高斯滤波器增强较暗的像素,同时抵消过度增强的像素。将修改后的值与保留的色相和饱和度分量相结合,得到增强的HSV图像。最后,将图像从HSV色彩空间转换为RGB色彩空间。实验结果表明,该算法增强的彩色图像更清晰、生动、高效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach for Color Image Enhancement Using Double Window Concept
In this paper, a new approach for the enhancement of color image using luminance and contrast enhancement based on double window concept has been presented. The proposed method exploits Hue-Saturation-Value (HSV) color space since the HSV space separates color from intensity. The hue and saturation components have 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 non-overlapping window in order to enhance luminance part of the image. Further, the 2-D Gaussian filter has been used for contrast enhancement. The Gaussian filter enhances the darker pixel while neutralizing the over enhanced pixel. The modified value is combined with preserved hue and saturation components in order to obtain enhanced HSV image. Finally, the image from HSV color space is converted into RGB color space. The experimental results presented show that the color image enhanced by this algorithm is clearer, vivid and efficient.
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