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High dynamic range image composition using a linear interpolation approach

机译:使用线性插值方法的高动态范围图像合成

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Linear interpolation is a simple yet effective technique for image composition which works wells for low dynamic range (LDR) images with a fixed range of pixel values. However, it cannot provide good performance for high dynamic range (HDR) images because a high luminance image usually dominates the composition result. This paper proposes a novel algorithm for HDR composition using the linear interpolation. Our scheme decomposes HDR images to be composed into three layers where a linear interpolation can be applied on each layer individually that has been normalized. The algorithm contains three steps including the image decomposition, the image feature composition, and finally the HDR map estimation and image re-rendering. Experimental results show that the proposed approach can produce informative HDR composition images balancing the influence caused by the low or high luminance and preserving the contrast, colors, and salience. The comparison demonstrates that our scheme outperforms the current state-of-the-art methods.
机译:线性插值是一种简单而有效的图像合成技术,对于像素值范围固定的低动态范围(LDR)图像,效果很好。但是,由于高亮度图像通常在构图结果中占主导地位,因此无法为高动态范围(HDR)图像提供良好的性能。本文提出了一种使用线性插值的HDR合成新算法。我们的方案将HDR图像分解为三层,其中线性插值可以分别应用于已归一化的每一层。该算法包含三个步骤,包括图像分解,图像特征合成,最后是HDR地图估计和图像重新渲染。实验结果表明,所提出的方法可以产生信息量丰富的HDR合成图像,从而平衡由低亮度或高亮度引起的影响,并保留对比度,颜色和显着性。比较表明,我们的方案优于当前的最新方法。

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