Illumination consistency based on single low dynamic range images

Abstract

In this paper, a light consistency solution for generating high dynamic range (HDR) images based on a single low dynamic range image(LDR) is proposed, and the virtual object is rendered by illumination. The solution can reduce the time of image acquisition and processing, and solve the problems caused by the limitations of image acquisition equipment. The solution is divided into three stages: image preprocessing, high dynamic range image generation and virtual object relighting. Firstly, in the stage of image pretreatment, the wavelet noise reduction method based on a Gaussian mixture model is used to remove image noise and avoid image detail distortion. The inverse camera response function is utilized to linearize the image, the pixel brightness range is expanded based on the inverse tone mapping function, and the threshold segmentation method is combined with flooding Gaussian smoothing to calculate the highlight spread diagram to compensate for scene highlights lost during camera shooting. Then, the extended dynamic range image is interpolated linearly by using the specular expansion image to get the high dynamic range image. Based on the analysis and experimental simulation, compared with other methods, it is found that using a single low-dynamic-range image can greatly reduce the time of image acquisition and processing and reduce the limitations of image acquisition equipment, while maintaining good light fusion. Based on the simulation results, the efficiency of light consistency processing is improved.