Monash Centre for Electron Microscopy, ARC Centre of Excellence for Design in Light Metals, Monash University, Victoria, Australia.
Opt Lett. 2012 Mar 15;37(6):1023-5. doi: 10.1364/OL.37.001023.
An efficient and accurate algorithm for determining the magnitude of noise as a function of signal in an arbitrary digital image is presented and demonstrated. The algorithm is robust and largely independent of the form of the image, returning the noise function with subcount error across the full dynamic range of a synthetic test image where noise of a known form has been added. The noise performance of a CCD under different image recording and processing conditions is examined using the algorithm. The effect of different noise functions on pattern-matching measurements of electronic structure by quantitative convergent beam electron diffraction is investigated.
提出并演示了一种用于确定任意数字图像中信号噪声大小的高效、精确算法。该算法稳健，且在很大程度上与图像形式无关，可在添加已知形式噪声的合成测试图像的整个动态范围内，以亚计数误差返回噪声函数。使用该算法研究了 CCD 在不同图像记录和处理条件下的噪声性能。研究了不同噪声函数对电子结构的定量会聚束电子衍射的图案匹配测量的影响。
