High dynamic range image reconstruction using multi-exposure Wavelet HDRCNN

A. Omrani, M. Soheili, M. Kelarestaghi
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引用次数: 6

Abstract

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.
基于多曝光小波HDRCNN的高动态范围图像重建
尽管移动和摄影技术在世界上取得了进步,但从这些设备拍摄的图像在亮度或细节方面与场景不相似,用户在场景中看到的细节无法在图像中看到。标准设备捕获的图像具有有限的动态范围,因此这些图像将具有高曝光和低曝光区域。为了解决这一问题,采用了高动态范围(High Dynamic Range, HDR)成像算法,这些算法更注重细节的重建,而在本研究中,将提出一种除了细节的重建外,还将关注图像生成时间的方法。为此,采用图像合并和图像小波系数分别重构更多细节和进行数据约简。最后,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合适的结果。
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