基于视觉传达的复杂光照图像虚拟重建设计研究

Research on virtual reconstructiondesign of complex illumination image based on visual communication

为了提升复杂光照图像虚拟重建后的效果,基于视觉传达对复杂光照图像虚拟重建进行设计研究。利用分水岭变换方法分割图像,通过分析图像的形状异质性,计算出光滑度差异值,将目标轮廓精准地从图像中分割出来,形成独立的图像个体,基于此,通过立体匹配对目标图像进行区域校准,利用视觉传达技术根据分割图像的位置和色彩,计算图像视觉表达灵敏度,进行虚拟重建,实现对复杂光照图像的修复。在实验论证中,对所提方法的重建效果进行了测试,结果表明,所提方法处理过的图像具有较高信噪比,能够较好地还原原始图像,对原始图像的还原率平均达到了94.41%,明显高于对比方法,说明总体重建效果较好。

In order to improve the effect of virtual reconstruction of complex illumination image,based on visual communication,the virtual reconstruction of complex illumination image was designed and studied.The watershed transformation method is used to segment the image.Study the difference of images,calculate the difference value,segment the target image,and obtain a single virtual image.Based on this,the target image is calibrated by stereo matching,and the visual expression sensitivity of the image is calculated according to the location and color of the seg-mented image using visual communication technology to perform virtual reconstruction.It can repair complex lighting images.In the experimental demonstration,the reconstruction effect of the proposed method is tested.The results show that the processed image of the proposed method has high signal-to-noise ratio and can restore the original image well.The average restoration rate of the original image reaches 94.41%,which is significantly higher than that of the com-parison method,indicating that the overall reconstruction effect is good.