New adaptive vector filter based on noise estimate

In this paper, quasi-Gaussian filter, quasi-median filter and locally adapt ive filters are introduced. A new adaptive vector filter based on noise est imate is proposed to suppress Gaussian and/or impulse noise. To estimate th e type and degree of noise corruption, a noise detector and an edge detecto r are introduced, and two key parameters are obtained to characterize noise in color image. After globally estimating the type and degree of noise cor ruption, different locally adaptive filters are properly chosen for image e nhancement. All noisy images, used to test filters in experiments, are gene rated by PaintShop-Pro and Photoshop software. Experimental results show th at the new adaptive filter performs better in suppressing noise and preserv ing details than the filter in Photoshop software and other filters.