CAJ | 학술논문

提出了一种基于离散小波变换DWT(discrete wavelet transform)的红外偏振与光强的融合方法.该算法采用DWT对源图像进行多尺度分解,然后对低频子带系数采用局部能量融合,而对高频子带系数采用消除高频噪声与局部均方差准则结合进行融合,最终通过逆变换得到重构的融合图像.实验结果表明,与加权平均融合和绝对值较大法的融合规则相比,局部标准偏差、粗糙度、对比度、局部熵分别提高了1.1%,3.0%,15.2%,2.6%,从而可以看出文中的融合方法具有一定的优势和现实意义.
제출료일충기우리산소파변환DWT(discrete wavelet transform)적홍외편진여광강적융합방법.해산법채용DWT대원도상진행다척도분해,연후대저빈자대계수채용국부능량융합,이대고빈자대계수채용소제고빈조성여국부균방차준칙결합진행융합,최종통과역변환득도중구적융합도상.실험결과표명,여가권평균융합화절대치교대법적융합규칙상비,국부표준편차、조조도、대비도、국부적분별제고료1.1%,3.0%,15.2%,2.6%,종이가이간출문중적융합방법구유일정적우세화현실의의.
@@@@A fusion algorithm of infrared polarization and intensity based on discrete wavelet transform (DWT) is put forward. DWT is adopted in the algorithm to decompose a source image into multi-scale images. Then the low frequency sub-band coefficient is fused by the local energy. And the high frequency sub-band coefficient is fused by eliminating high frequency noise and incorporating with local mean square error rule. The reconstructed fusion images are got finally through inverse transformation. Experimental results show that local standard deviation, roughness, contrast and local entropy are increased by 1.1%, 3.0%, 15.2%, 2.6%respectively comparing with the fusion rules of weighted average and the largest absolute value. So the fusion method has a certain advantage and reality.