CAJ | 학술논문

本文针对融合图像的对比度下降问题，提出了一种基于二阶对比度的图像融合算法。文中给出基于图像灰度直方图的对比度定义、二阶对比度定义和计算方法，可以直接根据灰度图像计算图像的对比度和二阶对比度。所提出的融合算法向融合图像传递二阶对比度信息、对比度信息和灰度信息，不需要对源图像进行变换。实验结果表明，与现有算法相比，基于二阶对比度的算法所需CPU运行时间有较大幅度减少；而且基于二阶对比度算法的融合图像的互信息有显著提高。
본문침대융합도상적대비도하강문제，제출료일충기우이계대비도적도상융합산법。문중급출기우도상회도직방도적대비도정의、이계대비도정의화계산방법，가이직접근거회도도상계산도상적대비도화이계대비도。소제출적융합산법향융합도상전체이계대비도신식、대비도신식화회도신식，불수요대원도상진행변환。실험결과표명，여현유산법상비，기우이계대비도적산법소수CPU운행시간유교대폭도감소；이차기우이계대비도산법적융합도상적호신식유현저제고。
Focusing on loss of contrast in the fused image, an image fusion algorithm based on the second order contrast is proposed. We define the contrast based on histogram of an image and the second order contrast. We also give the methods of how to calculate con- trast and the second order contrast. We can directly calculate contrast and the second order contrast according to the proposed methods. The proposed image fusion algorithm transfers the second order contrast, contrast and intensity to the fused image. The new algorithm does not perform any kind of image transformation. Experimental results demonstrate that the CPU time of the proposed algorithm is greatly dropped, compared with the existing methods, and the mutual information contained in the fused image increases dramatically.