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Normalized Log Twicing Function for DC Coefficients Scaling in LAB Color Space

机译:LAB色彩空间中DC系数缩放的归一化对数翻转函数

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The brightness of hand held captured images using cameras or camcorders usually differ in the color of the actual scene. These images suffer from the poor contrast values and are having non uniform illumination. There is always a scope to improve the contrast and illustration outward show of the true color metaphors. This piece mainly focuses on the contrast enhancement methods using DC coefficient scaling in the DCT domain. The performance of the conventional DC coefficient scaling is compared in different color spaces as YCbCR and LAB. Based on comparison, it is proposed to scale the DC coefficient in the CIE-Lab color space. Our prime contribution is to propose a novel mapping function by merging the log transformation and the standard Twicing function. The mapped function is then normalized using optimum constants to achieve better visual appearance. The contrast of only L components of LAB space is enhanced, but chrominance information terms are kept preserved. This provides the improved entropy of the enhanced images. The performance is compared using statistical parameters as SNR, entropy and standard deviation difference. The method are trialling on true color image of different environments.
机译:使用摄像机或便携式摄像机拍摄的手持图像的亮度通常会与实际场景的颜色有所不同。这些图像具有差的对比度值并且具有不均匀的照明。总有一个范围可以改善真彩色隐喻的对比度和插图向外显示。本文主要关注在DCT域中使用DC系数缩放的对比度增强方法。在不同的颜色空间(如YCbCR和LAB)中比较了常规DC系数缩放的性能。基于比较,提出在CIE-Lab颜色空间中缩放DC系数。我们的主要贡献是通过合并对数变换和标准的Twicing函数来提出一种新颖的映射函数。然后使用最佳常数对映射函数进行归一化,以实现更好的视觉外观。仅增强了LAB空间中L个分量的对比度,但色度信息项得以保留。这提供了增强图像的改进的熵。使用统计参数(例如SNR,熵和标准差)比较性能。该方法在不同环境的真实彩色图像上进行试验。

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