Overview of the RANSAC Algorithm The RANdom SAmple Consensus (RANSAC) algorithm proposed by Fischler and Bolles [1] is a general parameter estimation approach designed to cope with a
全局滤波.pdf Most existing state-of-the-art image denoising algorithms are based on exploiting similarity between a relatively modest number of patches. These patc
NeuralNetNUC.m 基于传统神经网络的非均匀性校正技术,是针对红外图像进行非均匀校正的神经网络学习技术,主要是针对两个状态变量的学习,增益和偏置,约3000帧以上的图像会有较好的结果,可根据现有逇技术进行升级改造。