视觉传达技术的低分辨激光图像重建研究

Low resolution laser image reconstruction based on visual communication technology

研究视觉传达技术的低分辨激光图像重建方法,解决重建图像边缘不清晰,视觉效果不佳等问题。利用灵敏度差分算法归类划分低分辨率激光图像,确保图像信息具有有效性,保证计算转换后数据的准确性,得到具有较高实质效果的低分辨率激光图像;将压缩感知理论用于超分别率重建技术重建改善实质效果的低分辨率激光图像,利用两步迭代收缩算法结合全变分正则化方法,保证重建后的激光图像具有良好的边缘效果。实验证明,重建后的激光图像边缘清晰,峰值信噪比最高可达34 dB、结构质量相似度与归一化互相性均可达到99.6%以上,具有良好的视觉传达效果。

The low-resolution laser image reconstruction method based on visual communication technology was studied to solve the problems of unclear edge and poor visual effect of reconstructed image. The sensitivity difference algorithm is used to classify and classify the low-resolution laser images,so as to ensure the validity of the image information,ensure the accuracy of the converted data,and obtain the low-resolution laser images with high real effect.The compressed sensing theory is used to reconstruct the low-resolution laser images with improved substantial effect with super-specific reconstruction technology,and the two-step iterative shrinking algorithm combined with total variational regularization method is used to ensure the reconstructed laser images have good edge effect. The experimental results show that the reconstructed laser image has clear edge,the peak signal-to-noise ratio is up to 34 dB,and the structural quality similarity and normalized cross-correlation can reach more than 99. 6%,and good visual communication effect.