Transferring color to grayscale images using vector quantization of luminance mapping techniques

Chin-Ho Chung; Wen-Yuan Chen

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Transferring color to grayscale images using vector quantization of luminance mapping techniques

机译：Transferring color to grayscale images using vector quantization of luminance mapping techniques

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摘要

We develop an effective algorithm for colorizing a grayscale image. In our approach, a reference color image, an RGB to l(alpha)(beta) color transform (l(velence)luminance, (alpha)(beta)(velence)chrominance), and a block-based vector quantization of luminance mapping (VQLM) technique are used to automatically colorize the grayscale image. The VQLM technique compares the grayscale image with the luminance of the color reference image to obtain the information of the (alpha)(beta) planes of the grayscale image. After the chrominance is padded, the inverse color transform, l(alpha)(beta) to RGB, colorizes the grayscale scene is colorized. Meanwhile, we create a mean of VQLM (MVQLM) method to improve the quality of the colorized grayscale image. Experimental results show the MVQLM method is better than the VQLM method. Also, we investigate colorizing the grayscale image working in the l(alpha)(beta) and YIQ spaces. The simulation results also reveal that working in the l(alpha)(beta) space is slightly better than working in the YIQ space. Compared to other colorizing schemes, our proposed method has two advantages: 1. the codebook and MVQLM techniques colorize the grayscale images for any size image that can be evenly divided by 2 automatically; and 2. the MVQLM method obtains a smoother colorizing effect and improved quality compared to the VQLM method.

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来源
《Optical Engineering》 |2009年第2期|027002-1-027002-7-0|共7页
作者
Chin-Ho Chung; Wen-Yuan Chen;
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作者单位

Ta Hwa Institute of Technology, Department of Electronic Engineering, No. 1, Dahua Road, Qionglin Shiang, Hsinchu County, Taiwan 307, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
color transform; vector quantization; luminance mapping; color decomposition; RGB-to-l(alpha)(beta) color transform;

Transferring color to grayscale images using vector quantization of luminance mapping techniques

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