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Constant Time Joint Bilateral Filtering Using Joint Integral Histograms

机译:使用联合积分直方图进行恒定时间联合双边过滤

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摘要

In this brief, we present a constant time method for the joint bilateral filtering. First, we propose an image data structure, coined as joint integral histograms (JIHs). Extending the classic integral images and the integral histograms, it represents the global information of two correlated images. In a JIH, the value at each bin indicates an integral determined by the two images. Then, the joint bilateral filtering is transformed to computation and manipulation of histograms. Utilizing the JIHs, we are capable of joint bilateral filtering in constant time. Its performance is validated in a digital photography approach using Flash–noFlash image pairs. Compared with the brute-force method, the proposed method achieves a speedup factor of 2–3 orders of magnitude while producing similar filtering results.
机译:在本文中,我们提出了一种用于联合双边过滤的恒定时间方法。首先,我们提出一种图像数据结构,称为联合积分直方图(JIH)。扩展经典积分图像和积分直方图,它表示两个相关图像的全局信息。在JIH中,每个bin处的值表示由两个图像确定的积分。然后,将联合双边滤波转换为直方图的计算和处理。利用JIH,我们能够在恒定时间内联合进行双边过滤。它的性能已通过使用Flash-noFlash图像对的数字摄影方法得到验证。与蛮力法相比,该方法在获得相似的滤波效果的同时,可实现2-3个数量级的加速因子。

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