Department of Pathology, Mount Sinai School of Medicine, New York, NY 10029, USA.
J Microsc. 2011 Feb;241(2):125-31. doi: 10.1111/j.1365-2818.2010.03443.x. Epub 2010 Aug 26.
An algorithm is presented for restoration of colour microscopic images with distortions from imperfect microscope lenses having transverse chromatic aberrations, resulting in a magnification that slightly varies with wavelengths or colours. The differential of each colour component image is computed as the difference between the component image and its slightly magnified version. The absolute values in the differential component images are generally higher at the edges where greater discontinuities occur. The two cross-correlation functions of the absolute differentials between red and green colours and between red and blue colours are then computed. The maximum in the two cross-correlation functions were sought, respectively, and the cross-correlation delays were then calculated. The two cross-correlation delays were used to determine dispersions and to realign the three colour components. Results of real microscopic images are provided. The restored image and the original are compared both visually and quantitatively in terms of the estimated entropies measured for the degree of concentrations using vector distributions.
本文提出了一种算法，用于恢复由具有横向色像差的不完善显微镜镜头引起的颜色微观图像的失真，从而导致放大率随波长或颜色略有变化。将每个颜色分量图像的微分计算为该分量图像与其略微放大的版本之间的差异。在边缘处，由于出现更大的不连续性，微分分量图像中的绝对值通常更高。然后计算红色和绿色颜色之间以及红色和蓝色颜色之间的绝对差分的两个互相关函数。分别寻找两个互相关函数中的最大值，然后计算互相关延迟。使用两个互相关延迟来确定色散并重新对准三个颜色分量。提供了真实微观图像的结果。根据使用向量分布测量的浓度程度估计的熵，从视觉和定量两个方面比较了恢复后的图像和原始图像。
