HDR Deghosting Using Motion-Registration-Free Fusion in the Luminance Gradient Domain

Cheng-Yeh Liou, Cheng-Yen Chuang, Chia-Han Huang, Yi-Chang Lu
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Abstract

For most of the existing high dynamic range (HDR) deghosting flows, they require a time-consuming motion registration step to generate ghost-free HDR results. Since the motion registration step usually becomes the bottleneck of the entire flow, in this paper, we propose a novel H DR deghosting flow which does not require any motion registration process. By taking channel properties into account, the luminance and chrominance channels are fused differently in the proposed flow. Our motion-registration-free fusion could generate high-quality HDR results swiftly even if the original Low Dynamic Range (LDR) images contain objects with large foreground motions.
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在亮度梯度域中使用无运动配准融合的HDR去重影
对于大多数现有的高动态范围(HDR)去鬼影流,它们需要一个耗时的运动配准步骤来生成无鬼影的HDR结果。由于运动配准步骤通常成为整个流的瓶颈,本文提出了一种新的不需要任何运动配准过程的hdr去重影流。通过考虑信道特性,在该流中对亮度和色度信道进行了不同的融合。即使原始的低动态范围(LDR)图像包含具有大前景运动的对象,我们的无运动配准融合也可以快速生成高质量的HDR结果。
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