Transferring color to Grayscale Images Using Vector Quantization of Luminance Mapping Technique

勤益科大機構典藏 > 電資學院 > 電子工程系(所) > 【電子工程系所】期刊論文 > Item 987654321/6542

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/6542

题名:	Transferring color to Grayscale Images Using Vector Quantization of Luminance Mapping Technique
作者:	陳文淵
贡献者:	電子工程(學)系
日期:	2009-02
上传时间:	2017-11-01 09:34:48 (UTC+8)
摘要:	We develop an effective algorithm for colorizing a grayscale image. In our approach, a reference color image, an RGB to Lαβ color transform L=luminance, α β=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 αβ planes of the grayscale image. After the chrominance is padded, the inverse color transform, L αβ 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 Lαβ and YIQ spaces. The simulation results also reveal that working in the Lαβ 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.
關聯:	Optical Engineering
显示于类别:	[電子工程系(所)] 【電子工程系所】期刊論文

文件中的档案:

没有与此文件相关的档案.

检视Licence

在NCUTIR中所有的数据项都受到原著作权保护.

数据加载中.....