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Extended performance comparison of pixel window size for colorization of grayscale images using YUV color space

机译:使用YUV颜色空间对灰度图像进行着色的像素窗口大小的扩展性能比较

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There is no exact solution for colorization of grayscale images. In the initial work done [1], color traits transfer techniques to color grayscale images are proposed. The main focus of the techniques [1] is to minimize the human efforts needed in manually coloring the grayscale images. The human interaction is needed only to find a reference color image, then the job of transferring color traits from reference color image to grayscale image is done by proposed techniques. This paper is an extension to [14]. Here the technique of color traits transfer to grayscale images have been performed with respect to YUV color space along with different pixel window sizes. The pixel window sizes used are total fifteen ranging from window with size 1×2 to 4×4. So in all 15 different versions of color traits transfer to grayscale algorithms are tested over thirty-one different images for deciding the color space and pixel window size giving best quality of coloring. The experimental results gives that the pixel window of size 4×3 suits the best in YUV color space.
机译:对于灰度图像的着色,没有确切的解决方案。在完成的最初工作中[1],提出了将颜色特征转移到彩色灰度图像的技术。技术[1]的主要重点是最大程度地减少手动着色灰度图像所需的人力。仅需要人的交互来找到参考彩色图像,然后通过提出的技术完成将颜色特征从参考彩色图像转移到灰度图像的工作。本文是对[14]的扩展。此处,已针对YUV颜色空间以及不同的像素窗口大小执行了将颜色特征转移到灰度图像的技术。所使用的像素窗口大小总计为十五个,范围从大小为1×2到4×4的窗口。因此,在所有15种不同版本的颜色特性中,都要对31种不同的图像进行灰度算法的转换测试,以确定颜色空间和像素窗口大小,以提供最佳的着色质量。实验结果表明,尺寸为4×3的像素窗口最适合YUV颜色空间。

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