首页> 外文会议>International Conference on Machine Vision and Image Processing >High dynamic range image reconstruction using multi-exposure Wavelet HDRCNN
【24h】

High dynamic range image reconstruction using multi-exposure Wavelet HDRCNN

机译:使用多曝光小波HDRCNN的高动态范围图像重建

获取原文

摘要

Despite the advances in technology in the world of mobile and photography, the images taken from such devices do not resemble the scene in terms of brightness or details that users see in the scene cannot be seen in the images. Standard devices capture images with limit dynamic range, hence these images will have high-exposure and low-exposure areas. To tackle this problem, High Dynamic Range (HDR) imaging algorithms are used in which these algorithms pay more attention to the detail reconstruction however in this research, a method will be proposed that in addition to the reconstruction of the details, also it will be focused on image generation time. For this purpose, merging images and image Wavelet coefficients are used to reconstruct more details and make data reduction, respectively. Eventually, the proposed algorithm will be evaluated using PSNR and SSIM evaluation metrics which the results will be shown that the proposed method has appropriate results.
机译:尽管移动和摄影领域的技术有所进步,但从此类设备拍摄的图像在亮度或用户在场景中看不到的细节方面与场景并不相似。标准设备会捕获动态范围有限的图像,因此这些图像将具有高曝光和低曝光区域。为了解决这个问题,使用了高动态范围(HDR)成像算法,其中这些算法更加关注细节重建,但是在本研究中,将提出一种方法,除了对细节进行重建之外,还需要对细节进行重建。专注于图像生成时间。为此,合并图像和图像小波系数分别用于重构更多细节并减少数据。最终,将使用PSNR和SSIM评估指标对所提出的算法进行评估,结果将表明所提出的方法具有适当的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号