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Single image-based HDR imaging with CRF estimation

机译:具有CRF估计的基于单个图像的HDR成像

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摘要

Single image-based HDR imaging can inherently remove ghost artifacts which appear in multiple image-based HDR imaging. Most existing single-exposure HDR imaging methods apply complicated handing to overexposed areas in image, which perplexes the algorithm and introduces the probability of generating artifacts; moreover, they do not take into account the imaging properties of the camera. In this paper, we proposed a single image-based HDR imaging based on camera response function (CRF) reconstruction. The HDR image is obtained by performing the reverse CRF on the original LDR image. The imitation of imaging procedure inherently makes the final HDR image be high quality. The experimental results show that the proposed approach performs well and produces favorable images.
机译:基于单个图像的HDR成像可以固有地消除出现在多个基于图像的HDR成像中的重影伪影。大多数现有的单曝光HDR成像方法都将复杂的操作应用于图像中曝光过度的区域,这使算法感到困惑,并引入了生成伪影的可能性。此外,它们没有考虑照相机的成像特性。在本文中,我们提出了一种基于相机响应函数(CRF)重构的基于图像的HDR图像。 HDR图像是通过对原始LDR图像执行反向CRF获得的。模仿成像过程本质上使最终的HDR图像具有高质量。实验结果表明,该方法性能良好,并能产生令人满意的图像。

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