【摘要】 复杂图形元素的细节增强会受到光照变化影响，导致人眼观测下图形细节的对比度与清晰度降低，因此提出基于激光视觉传达的光照变化复杂图形元素细节增强方法。该方法利用具有颜色恢复功能的多尺度视网膜算法对采集到的图形展开颜色校正，通过激光视觉传达方法将图形从RGB颜色空间转换到便于人眼观察的HIS颜色空间。采取自适应补偿法和限制对比度自适应直方图均衡化算法，对图形的饱和度I值和亮度S值展开增强，并将增强后的图像转换回RGB颜色空间。实验结果表明，该方法的颜色校正效果好、图形细节增强的稳定性强。更多还原

【Abstract】 The enhancement of details in complex graphic elements is affected by lighting changes, resulting in a decrease in contrast and clarity of graphic details observed by the human eye. Therefore, a method for enhancing the details of complex graphic elements in lighting changes based on laser vision communication is proposed. This method uses a multi-scale retina algorithm with color recovery function to unfold color correction on the collected graphics, and converts the graphics from the RGB color space to the HIS color space that is convenient for human observation through laser vision communication method. Adopting adaptive compensation method and limited contrast adaptive histogram equalization algorithm, the saturation I value and brightness S value of the graph are enhanced, and the enhanced image is converted back to the RGB color space. The experimental results show that this method has good color correction effect and strong stability in enhancing graphic details.更多还原