CAJ | 학술논문

针对经典金字塔融合算法在重构过程中由噪声叠加引起的黑斑问题，提出了一种新的基于分层预处理的红外与可见光图像融合算法。该算法对金字塔分解的各层图像进行预处理，优化各分解层图像质量后再将各自对应层融合。采用该算法融合的图像质量能降低直接对源图像进行融合时融合规则的复杂度及融合后改善图像质量处理的难度，仿真结果验证了该算法的有效性。与经典金字塔算法、同类金字塔改进算法相比，该算法包含的信息量更多。
침대경전금자탑융합산법재중구과정중유조성첩가인기적흑반문제，제출료일충신적기우분층예처리적홍외여가견광도상융합산법。해산법대금자탑분해적각층도상진행예처리，우화각분해층도상질량후재장각자대응층융합。채용해산법융합적도상질량능강저직접대원도상진행융합시융합규칙적복잡도급융합후개선도상질량처리적난도，방진결과험증료해산법적유효성。여경전금자탑산법、동류금자탑개진산법상비，해산법포함적신식량경다。
Considering that the pyramid infusion algorithm has a problem of black spots caused by noise superposition in re-structuring procedure, this paper proposes a novel algorithm for infrared and visible image fusion based on layered pre-processing, and makes a fusion for those decomposition layers after optimizing each layer’s image quality. The image quality fused by using this algorithm can reduce the complexity of fusion regularity when fusing directly the source images and lower the processing difficulty of improving the image quality after fusion. Simulation results prove this proposed algorithm to be of effectiveness. Compared with the classic pyramid algorithm and other similar improved pyramid algorithms, this novel algorithm can contain much more information.