Pseudo-Multiple-Exposure-Based Tone Fusion With Local Region Adjustment
Pseudo-Multiple-Exposure-Based Tone Fusion With Local Region Adjustment
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DOI：
10.1109/tmm.2015.2403612
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发表时间：
2015-02
影响因子：
7.3
通讯作者：
Tsun-Hsien Wang;Cheng-Wen Chiu;Wei-Chen Wu;Jen-Wen Wang;Chun-Yi Lin;C. Chiu;J. Liou
中科院分区：
文献类型：
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作者：
Tsun-Hsien Wang;Cheng-Wen Chiu;Wei-Chen Wu;Jen-Wen Wang;Chun-Yi Lin;C. Chiu;J. Liou
与传统显示设备相比，新一代显示技术提供了显著提高的动态范围。逆色调映射方法已被提出用于将低动态范围（LDR）图像转换为高动态范围（HDR）图像，其中一些方法需要同一场景的多次曝光LDR图像作为输入。然而，现有的绝大多数LDR图像和视频只有单次曝光。在本文中，我们提出了一种基于区域的伪曝光增强方法来生成HDR图像。首先，我们提出一种依赖曝光的曲线，将一幅LDR图像转换为伪多次曝光图像。伪曝光图像中只有某些区域包含明显的细节信息。我们提出对伪曝光图像进行基于区域的增强，以提升最显著区域的细节。由此，经过区域增强的伪曝光图像被融合成一幅HDR图像。融合后的图像增强了暗图像亮区域和亮图像暗区域的细节。与其他逆色调映射方法相比，我们的方法在[1]中提出的与动态范围无关的图像质量评估方法下产生的总对比度误差更低。
New generations of display technologies provide a significantly improved dynamic range compared to conventional display devices. Inverse tone mapping methods have been proposed to convert low dynamic range (LDR) images to HDR ones, and several of them require multiple exposure LDR images of the same scene as inputs. However, the vast majority of LDR images and videos available have only one single exposure. In this paper, we propose a region-based enhancement of the pseudo-exposures to generate an HDR image. First, we present an exposure dependent curve to convert one LDR image to the pseudo-multiple-exposures. Only certain regions of the pseudo-exposures contain noticeable detail information. We propose a region-based enhancement on the pseudo-exposures to boost details in the most distinct region. Thereby the region-enhanced pseudo-exposures are fused into an HDR image. The fused image thus enhances details in the bright region of the dark image and the dark region of the bright image. Compared with other inverse tone mapped methods, our method generates lower total contrast error measured under the dynamic range independent image quality assessment method in [1].