基于视觉传达的过度曝光激光图像智能复原方法

Intelligent restoration method for overexposed laser images based onvisual communication

图像的过度曝光直接影响图像中有效信息的读取效果,激光图像具有能量高、亮度高等特点,导致其极易出现过度曝光现象,为恢复过度曝光激光图像中的信息,提出基于视觉传达的过度曝光激光图像智能复原方法。通过激光图像过度曝光过程的模拟,得出退化图像作为图像复原的处理对象。综合考虑激光图像的直方图特征以及亮度特征,确定激光图像中的过度曝光区域。针对过度曝光区域,以提升视觉传达效果为目的,通过光线补偿、颜色校正、噪声抑制等步骤,实现图像的智能复原结果。通过效果测试实验得出结论:与传统复原方法相比,优化设计方法得出复原激光图像的峰值信噪比达到了49.5 dB,图像复原耗时仅为4.9 s,并且结构相似度达到了0.987,说明该方法具备更高的峰值信噪比,图像更加清晰,与原图像更加相似,并且有效提高了图像复原效率。

The overexposure of an image directly affects the reading effect of effective information in the image.Laser images have the characteristics of high energy and high brightness,which makes them prone to overexposure.In order to restore the information in overexposed laser images,an intelligent restoration method based on visual communication for overexposed excitation images is proposed.By simulating the overexposure process of laser images,degraded images are identified as the processing objects for image restoration.By comprehensively considering the histogram features and brightness features of laser images,determine the overexposed areas in the laser image.For overexposed areas,with the aim of improving visual communication,intelligent image restoration results are achieved through steps such as light compensation,color correction,and noise suppression.Through the effect test experiment,the conclusion is drawn:Compared with the traditional restoration method,the optimized design method obtained that the peak signal-to-noise ratio of the restored laser image reached 49.5 dB,the image restoration time was only 4.9 s,and the structural similarity reached 0.987,indicating that the method had a higher peak signal-to-noise ratio,the image was clearer and more similar to the original image,and effectively improved the image restoration efficiency.