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基于轮廓波变换的红外图像增强算法的研究

Infrared image enhancement algorithm based on Contourlet transform
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摘要 尽管红外图像的应用越来越广泛,但其本身存在的不足使得应用受到影响,因此对红外图像进行增强处理就显得十分重要。现有的图像增强算法没有考虑到变换系数中不同分辨率下的各个方向子带之间的能量分布,对所有分辨率下的所有方向子带中的变换系数进行统一的增强处理。因此,提出了一种结合方向子带能量分布的自适应增强算法。Matlab仿真结果表明,该算法不仅能增强目标的清晰度,还能提高红外图像的对比度,改善图像的视觉效果。 Despite the increasingly wide application of infrared image,the shortage of itself made its application affected, so it was very important to enhance the infrared image. In the conventional image enhancement algorithms,the transform coefficients in all the directional subbands at all the resolutions are enhanced uniformly because they do not consider the energy distribution in transform coefficients between directional subbands at different resolution. Therefore,a adaptive enhancement algorithm combined with directional subband energy distribution is proposed in this paper. Matlab simulation results show that the algorithm can not only enhance the clarity of objectives,but also improve the contrast and visual effect of infrared image.
出处 《现代电子技术》 2014年第14期117-119,124,共4页 Modern Electronics Technique
关键词 红外图像增强 CONTOURLET变换 能量分布 双阈值 infrared image enhancement Contourlet transform energy distribution dual-threshold
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