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This work presents a method based on the image content for digital halftoning using K-means clustering theory. Our algorithm applies to both a printer model and a model for the human visual system (HVS). First, the gray image is partitioned into two, three and four regions using K-means image segmentation method. Next, Each clustering uses the least-squares(More)
The wavelet domain hidden Markov tree (WHMT) model can decompose the original image into a multiscale and multiband representation. In traditional methods, each WHMT model has to be trained with a single texture image, i.e., each texture is represented by a corresponding WHMT model. This method is memory consuming and do not work for unknown textures. More(More)
Conventional uncooled infrared temperature detectors can only detect targets in two-dimensional temperature field. We propose to achieve three-dimensional temperature field in microwave reaction chamber through binocular visual reconstruction. The infrared and visible multispectral images at two-views are acquisitioned via an infrared detector. To improve(More)