摘要
提出了一种提升小波变换和DCT变换相结合的图像融合算法。这种算法并不依赖于对方差,而是直接使用DCT变化和小波变化分别对高频部分、低频部分进行特征提取。实验表明,这种新的融合技术与传统算法相比,不但提高了图像的信噪比,更加保留了边缘的信息细节,同时也提高了处理效率,减少了使用时间,具有较高得实用价值。
This paper presents a wavelet variation and DCT transform a combination of image fusion algorithms, this al- gorithm is not dependent on the variance, but direct use of DCT changes and wavelet transform respectively on the high frequency part of the low frequency part, through experimental verification of this new fusion technology compared with the traditional algorithm, not only improve the image signal to noise ratio, retains the edge details, but also improve the processing efficiency, reduce the use of time, has a high practical value.
出处
《科技通报》
北大核心
2012年第4期178-179,205,共3页
Bulletin of Science and Technology
基金
铜仁学院校级项目:"运用现代教育技术优化教学过程的研究与实践"
