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Spatial domain color image enhancement based on local processing

机译:基于局部处理的空间域彩色图像增强

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In this paper, a color image enhancement based on local processing approach is proposed. The proposed algorithm includes image enhancement in spatial domain. Image is treated locally, means enhancement operator is applied only where it is needed. Proposed method takes place in three steps; initially luminance of image is enhanced by a non-linear transfer function. In second step, contrast enhancement is carried out using neighbourhood dependent approach and in the third step; tone reproduction is carried out by 2-D local Gamma correction. In this technique Hue and Saturation is preserved because the method is applied only on V (luminance) part of an HSV (Hue-Saturation-Luminance). Finally, Hue (H) and Saturation (S) component of the original image and enhanced Value component (V) are combined together and converted back to an RGB image. This algorithm is very effective for non-uniform illumination images. Performance of image enhancement is evaluated through visual perception, colorfulness index and number of saturated pixels (percentage). The experimental results validate that images improved by proposed algorithm are clearer, natural looking in comparison with other techniques of image enhancement.
机译:本文提出了一种基于局部处理的彩色图像增强方法。所提出的算法包括空间域中的图像增强。图像在本地处理,这意味着增强运算符仅在需要的地方应用。拟议的方法分三步进行:最初,图像的亮度通过非线性传递函数增强。第二步,使用邻域相关方法进行对比度增强,第三步;通过2-D局部Gamma校正进行色调再现。在该技术中,保留了色相和饱和度,因为该方法仅应用于HSV(色相-饱和度-亮度)的V(亮度)部分。最后,将原始图像的色相(H)和饱和度(S)分量与增强值分量(V)组合在一起,然后转换回RGB图像。该算法对于非均匀照明图像非常有效。通过视觉感知,色彩指数和饱和像素数(百分比)来评估图像增强的性能。实验结果证明,与其他图像增强技术相比,该算法改进后的图像更加清晰自然。

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