基于无基底焦平面阵列的红外图像复原算法

与传统有基底焦平面阵列不同,无基底焦平面阵列的感热单元吸收的红外辐射以点扩散函数的形式向相邻单元进行热传导,该热力学特性虽然能够大幅提高红外探测性能,使红外目标在背景中更加凸显,但同时降低了系统对红外目标细节的分辨能力,使图像模糊。通过分析这种热扩散叠加效应对红外成像质量的影响,利用数字图像处理方法,提出了针对性的红外图像复原算法。仿真和实验均表明该算法能够有效增强红外图像细节轮廓,提升图像质量。

Infrared Image Restoration Algorithm Based on Substrate-free Focal Plane Array

It is different from traditional substrate with focal plane array that thermal sensitive element of substrate-free focal plane array can absorb infrared radiation. The absorbed infrared radiation is conducted to adjacent cells in the form of a point spread function. Although this thermal characteristic can improve infrared detection performance greatly and can make the infrared target much more prominent against the background, but at the same time the thermal characteristic is able to reduce the infrared target detail distinguishing ability and result in image blurring. In this regard, through analyzing the thermal diffusion additive effect on infrared imaging quality, and using digital image processing method, a targeted image restoration algorithm is proposed in this paper to solve above problem. Both simulative and experimental results show that the image restoration algorithm can effectively enhance the detail contours of infrared image then highly improve image quality.