Fast joint separation and segmentation of mixed images

Fast joint separation and segmentation of mixed images

We consider the problem of the blind separation of noisy instantaneously mixed images. The images are modeled by hidden Markov fields with unknown parameters. Given the observed images, we give a Bayesian formulation and we propose a fast version of the MCMC algorithm based on the Bartlett decomposition for the resulting data augmentation problem. We separate the unknown variables into two cate...

Fast Segmentation of Large Images

Fast Segmentation of Range Images

A new type of range image segmentation method is introduced. The image segmentation is based on a recursive adaptive regression model prediction for detecting range image step discontinuities which are present at object face borders. Border pixels are detected in two perpendicular directions and detection results are combined together. Two predictors in each direction use identical contextual i...

Fast Spectral-Based Separation of Multispectral Images

In this paper we present an algorithmic framework for spectral separation of multispectral images. The proposed iterative method inverts the widely used cellular Yule-Nielsen spectral Neugebauer printer model so quickly that model inversion can be considered for pixel-by-pixel application. Simplification and precalculation make improvements and small modifications of the algorithm significantly...

Multi Resolution Fuzzy Segmentation of Satellite Images