基于视觉传达的弱光照图像增强研究

Research on low illumination image enhancement based on visual communication

为了提高弱光照图像处理后的成像质量,提出基于视觉传达的弱光照图像增强技术。采用背景先验知识信息检测的方法实现对弱光照图像的视觉特征检测,对提取的弱光照图像视觉传达信息实现模糊度融合和辨识处理,采用模型结构参数分析的方法实现对弱光照图像的分割和边缘灰度信息重组,采用多尺度分解的方法,构建弱光照图像的斑块视觉信息检测模型,实现对弱光照图像的视觉传达设计,根据视觉传达效果实现弱光照图像增强处理。仿真结果表明,采用该方法进行弱光照图像增强的信息处理能力较好,图像输出的清晰度与对比度较高,提高了弱光照图像目标点的识别能力。

In order to improve the image quality of low light image processing,a weak light image enhancement technology based on visual communication is proposed. The method of background prior knowledge information detection is used to detect the visual features of weak light image,and the fuzzy fusion and identification processing are realized for the extracted weak light image visual communication information. The method of model structure parameter analysis is used to realize the segmentation of weak light image and the reorganization of edge gray information. The patch vision of weak light image is constructed by multi-scale decomposition method Information detection model is used to realize the visual communication design of weak light image,and the weak light image enhancement processing is realized according to the visual communication effect. The simulation results show that the information processing ability of weak illumination image enhancement is better,the clarity and contrast of image output are higher,and the recognition ability of weak light image target point is improved.