摘要
针对传统彩色图像融合存在色彩不自然和运算复杂的缺点,提出了基于小波和色彩传递夜视图像彩色融合算法。该算法的核心思想是把源图像RGB空间转换到YUV空间,然后利用小波变换把源图像和参考图像分别进行分解,并对结果中的一阶统计量和二阶统计量进行计算,最后把参考图像的统计量传递给源图像,此时参考图像和源图像的统计量是相同的,把经过处理过的源图像通过小波逆变换传递到RGB空间,测试结果表明,此算法具有图像细节更加丰富,边缘突出的优点。
Unnatural colors and computational complexity shortcomings of traditional colors image fusion, the color of night vision image fusion algorithm is proposes based on wavelet and color transfer. The core idea of the algorithm is the source image RGB color space to YUV space,and then the source image and the reference image using wavelet transform decomposition,and the results of the first-order statistics and second-order statistics to calculate the reference the statistics of the image transmitted to the source image,and statistics are the same as in the reference image and the source image,is passed through the inverse wavelet transform after the processing of the source image to the RGB space,the test results show that this algorithm has image detail richer,edge projecting advantage.
出处
《电子器件》
CAS
北大核心
2014年第1期143-145,共3页
Chinese Journal of Electron Devices
关键词
图像融合
色彩传递
小波变换
夜视图像
image fusion
color transfer
wavelet transformation
night vision image
