CAJ | 학술논문

针对红外图像对比度低的特点提出一种红外图像细节增强算法，并对其进行了仿真。该算法首先利用腐蚀和膨胀以及均值滤波来消除散粒噪声，然后通过均值滤波得到低频图像，从而提取出细节图像，并且计算每个像素的权重，对细节图像进行有权重的直方图统计，通过幂级数变化降低背景的影响。仿真结果表明，此方法在不同情景下都能够取得较好的效果，并且由于该算法复杂度低，在硬件实现时需要的资源也较少，可以进行商用。
침대홍외도상대비도저적특점제출일충홍외도상세절증강산법，병대기진행료방진。해산법수선이용부식화팽창이급균치려파래소제산립조성，연후통과균치려파득도저빈도상，종이제취출세절도상，병차계산매개상소적권중，대세절도상진행유권중적직방도통계，통과멱급수변화강저배경적영향。방진결과표명，차방법재불동정경하도능구취득교호적효과，병차유우해산법복잡도저，재경건실현시수요적자원야교소，가이진행상용。
A Digital Detail Enhancement(DDE) method is proposed and simulated in order to overcome the low contrast of infrared image. Firstly, erosion and dilation as well as average filtering are used to eliminate the shot noise. Secondly, the low frequency image is obtained by average filtering, so as to extract the detail image. Then the weight of each pixel is calculated to get the histogram with weight for detail image. At last the histogram equalization with power series change is implemented to reduce the effects of background. Simulation results show that the method proposed can get good performance under different scenarios and needs less resource for hardware implementation due to its low complexity. Therefore, it can be applied commercially.