Higher order Teager-Kaiser operators for image analysis: PART II - a multicomponent image demodulation

We present in this paper a new real image demodulation algorithm. Because of the multicomponent aspects of real images, we first split the image into narrow band components by the means of a Gabor filterbank. Each narrowband component is then demodulated by using the 2D higher order Teager-Kaiser operators (HOTKO). The demodulation process ends by a pixel-by-pixel selection achieved through a dominant component selection basis, in order to get a better image analysis. The whole procedure is presented here, and the algorithm´s effectiveness is demonstrated on a large class of various images.