新型工业化
新型工業化
신형공업화
New Industrialization Straregy
2013年
1期
15-22
,共8页
高动态范围成像%相机相应函数恢复%计算复杂度
高動態範圍成像%相機相應函數恢複%計算複雜度
고동태범위성상%상궤상응함수회복%계산복잡도
High dynamic range imaging%radiometric response function recovery%computational complexity
在高动态范围成像中,场景亮度到图像像素值的映射称为相机响应函数,该函数的恢复对于成像至关重要。一种通用方法是Debevec 和Malik 的算法,用多个不同曝光的照片来恢复响应函数。然而该方法的缺点是,当不同曝光照片数减少时,计算量反而增加,在两个曝光的情况下,该问题尤其严重。本文讨论了一种差分方法用以减少该算法的复杂度。实验结果证实了本文方法的性能。
在高動態範圍成像中,場景亮度到圖像像素值的映射稱為相機響應函數,該函數的恢複對于成像至關重要。一種通用方法是Debevec 和Malik 的算法,用多箇不同曝光的照片來恢複響應函數。然而該方法的缺點是,噹不同曝光照片數減少時,計算量反而增加,在兩箇曝光的情況下,該問題尤其嚴重。本文討論瞭一種差分方法用以減少該算法的複雜度。實驗結果證實瞭本文方法的性能。
재고동태범위성상중,장경량도도도상상소치적영사칭위상궤향응함수,해함수적회복대우성상지관중요。일충통용방법시Debevec 화Malik 적산법,용다개불동폭광적조편래회복향응함수。연이해방법적결점시,당불동폭광조편수감소시,계산량반이증가,재량개폭광적정황하,해문제우기엄중。본문토론료일충차분방법용이감소해산법적복잡도。실험결과증실료본문방법적성능。
In high dynamic range imaging, it is important to estimate the radiometric response function of a camera that relates image pixel values to scene radiance. Among numerous existing approaches, Debevec and Malik’s algorithm has been widely used to determine the response function from multiple differently exposed photographs. However, with this algorithm, the computational complexity goes up when the number of exposures decreases. The problem becomes serious in the case of two exposures. In this paper, we present a differential approach that can significantly reduce the complexity of their algorithm at small numbers of exposures. Experimental results illustrate the performance of the proposed method.