用于红外弱小点目标图像的超分辨增强技术

Super resolution reconstruction for infrared dim point target

提出了一种适用于红外弱小点目标增强的超分辨重建技术.为实现这一目标,首先引入基于图像稠密描述的特征流场,然后将计算得到的高精度流场用于相邻帧配准,通过图像融合和不断迭代得到高分辨重建图像.实验表明,对图像进行超分辨处理后,弱小目标的分辨率可以得到有效增强,局部信噪比可以得到提升,复杂背景可以得到抑制.

A super resolution reconstruction method for dim point target detection in infrared image was presented.To achieve this,local descriptor based dense flow calculation is introduced first.Then,the high accuracy flow is used to registrate and fuse two adjacent images to generate the final high resolution image.Experiments show that,after the process,the resolution of small targets can be increased,local signal-to-noise ratio be increased and complex background be surprised.