Radiometric self calibration

T. Mitsunaga, S. Nayar
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引用次数: 840

Abstract

A simple algorithm is described that computes the radiometric response function of an imaging system, from images of an arbitrary scene taken using different exposures. The exposure is varied by changing either the aperture setting or the shutter speed. The algorithm does not require precise estimates of the exposures used. Rough estimates of the ratios of the exposures (e.g. F-number settings on an inexpensive lens) are sufficient for accurate recovery of the response function as well as the actual exposure ratios. The computed response function is used to fuse the multiple images into a single high dynamic range radiance image. Robustness is tested using a variety of scenes and cameras as well as noisy synthetic images generated using 100 randomly selected response curves. Automatic rejection of image areas that have large vignetting effects or temporal scene variations make the algorithm applicable to not just photographic but also video cameras.
辐射自校正
本文描述了一种简单的算法,从使用不同曝光的任意场景的图像中计算成像系统的辐射响应函数。曝光可以通过改变光圈设置或快门速度来改变。该算法不需要精确估计所使用的曝光量。曝光比的粗略估计(例如廉价镜头的f值设置)足以准确恢复响应函数和实际曝光比。利用计算得到的响应函数将多幅图像融合成一张高动态范围辐射图像。鲁棒性测试使用各种场景和相机,以及使用100随机选择的响应曲线生成的噪声合成图像。自动拒绝图像区域有很大的渐晕效果或时间场景变化使算法不仅适用于摄影,也适用于摄像机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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