Estimate Method of CCD and CMOS Response Functions Based on a Single Image

摘要

Response function is one of the important characteristics of CCD and CMOS. Traditional measure method of response function need to fulfill strict measurement conditions, and has the shortcoming of low measurement efficiency and high measurement cost. This paper use PCA method to compute 5 eigenvectors corresponding to 5 maximum eigenvalues of the response function space base on 201 existing response functions. Express the existing response functions by the linear combination of the 5 eigenvectors. Combine all the linear coefficient in a probability distribution in the form of Gaussian Mixture Model (GMM). Estimate the parameter of this Gaussian Mixture Model. Base on this GMM, process the color edge pixels clusters in the image, estimate the RGB response functions. This method has high precision and wide applying prospect.