Dynamic Range Compression and Detail Enhancement Algorithm Combined with PE for High Dynamic Range Infrared Images

Abstract

： To address the problem of noise suppression and contrast enhancement in enhancing the details of potential or small targets in infrared images with a high dynamic range, a dynamic range and detail enhancement algorithm based on a guided filter image is proposed. The base layer is compressed by a plateau-histogram equalization algorithm. The detail layer is denoised by a median filter first, and then the potential and small target details are enhanced by nonlinear mapping. Finally, the image is integrated according to a certain weight to obtain the enhanced details. Based on the subjective and objective experimental results, compared with algorithms based on mapping, histogram equalization, and a bilateral filter, this algorithm can improve the contrast of the target scene of the infrared image in the process of dynamic range reduction. The proposed algorithm can highlight the texture features and obtain a good detail enhancement effect.