A Comparison of Kekre's Fast Search and Exhaustive Search for Various Grid Sizes Used for Colouring a Greyscale Image

H. B. Kekre, Sudeep D. Thepade, Adib Parkar
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引用次数: 21

Abstract

There are various techniques using various colour spaces that can be used to colour a greyscale image such as those described in [1], [2], [3] and [4]. In this paper we focus on the procedure described in [4] extended to seven different colour spaces – RGB, LUV, YCgCb, YCbCr, YUV, XYZ and YIQ. We also vary the grid (pixel window) sizes used in the aforementioned procedure and apply both the exhaustive search (ES) algorithm as well as Kekre’s Fast Search (KFS) algorithm to find the mapping with the least mean squared error and compare the results obtained across grid sizes.
Kekre快速搜索和穷举搜索在灰度图像着色中不同网格大小的比较
有各种技术使用不同的色彩空间,可以用来为灰度图像上色,如在[1],[2],[3]和[4]中描述的那些。在本文中,我们将重点放在[4]中描述的过程扩展到七个不同的颜色空间- RGB, LUV, YCgCb, YCbCr, YUV, XYZ和YIQ。我们还改变了上述过程中使用的网格(像素窗口)大小,并应用穷极搜索(ES)算法和Kekre的快速搜索(KFS)算法来找到均方误差最小的映射,并比较不同网格大小获得的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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