可见光与红外CPCT彩色图像融合研究与实现

Research and implementation of visible-light and infrared CPCT color image fusion

研究了红外和可见光图像融合、融合质量客观评价以及融合目标跟踪三个方面。针对当前基于颜色传递的彩色图像融合中融合图像缺乏颜色恒常性的问题,着重分析研究颜色传递过程中参考图像如何影响融合效果,并提出基于恒参数颜色传递(CPCT)彩色图像融合的改进算法。然后,分析了彩色融合图像的客观评价方法,对各种客观评价指标与主观评价的一致性进行对比总结。最后,以目标跟踪作为红外和可见光图像融合应用,针对红外小目标跟踪出现的相似背景干扰问题,结合基于CPCT的图像融合算法,研究了基于CPCT彩色融合图像的粒子滤波目标跟踪算法。

The infrared image and visible?light image fusion,objective evaluation of fusion quality and fusion target tracking are studied.Since the fusion image in the color image fusion based on color transfer lacks of color constancy,the fusion effect influenced by the reference image in the color transfer process is analyzed and studied emphatically.A color image fusion improved algorithm based on constant parameter color transfer(CPCT)is proposed.The objective evaluation method of the color fusion image is analyzed.The consistency between each objective evaluation index and subjective evaluation index is contracted and summarized.The target tracking is deem as the application of the infrared image and visiblelight image fusion.Aiming atthe similar background interference existing in the infrared small target tracking,the image fusion algorithm based on CPCT is combined to study the particle filtering target tracking algorithm based on CPCT color image fusion.