Single image-based HDR imaging with CRF estimation

Y. Huo, X. Zhang
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引用次数: 11

Abstract

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.
基于单图像的HDR成像与CRF估计
基于单个图像的HDR成像可以固有地去除出现在多个基于图像的HDR成像中的伪影。现有的单曝光HDR成像方法大多对图像过曝光区域进行复杂处理,使算法变得复杂,并引入了伪影产生的概率;此外,它们没有考虑到相机的成像特性。本文提出了一种基于相机响应函数(CRF)重构的单图像HDR成像方法。HDR图像是通过对原始LDR图像进行反向CRF得到的。对成像过程的模仿从本质上保证了最终HDR图像的高质量。实验结果表明,该方法性能良好,能产生较好的图像。
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