| 摘 要: 为了提高人脸检测图像的质量，本文提出了一种基于小波变换模型的人脸图像融合处理算法,该算法将两
幅或者多福不同光照条件的人脸图像进行融合处理。该算法不仅可以改善光照条件对图像质量的影响，并且有效的消除
了人脸图像的模糊边界。通过与其他同类算法的实验表明，本文提出的算法能有效地改善图像质量，减少不同光照条件
对人脸检测准确率的影响。 |
| 关键词: 图像融合；小波变换；图像配准；图像评价 |
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中图分类号: TP391.41
文献标识码: A
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| 基金项目: 辽宁省教育厅科学研究一般项目(L2014557). |
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| The Application of Wavelet Transform in the Face Image Fusion |
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LIANG Lizhe
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( Department of Information Engineering, Liaoning Finance Vocational College, Shenyang 110122, China)
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| Abstract: In order to improve the quality of face image detection,this paper proposes an algorithm of face image fusion based on wavelet transform,which fuses two or more face images in variant light conditions.The algorithm can not only adjust the images in poor light conditions,but effectively eliminate the fuzzy boundary of face images as well.The results of comparison experiment with other algorithms show that the proposed algorithm can effectively improve the image quality,and reduce the influence of variant light conditions on the accuracy of face detection. |
| Keywords: image fusion;wavelet transform;image registration;image evaluation |
