Am-fm image models
Analyzing Image Structure by Multidimensional Frequency Modulation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Higher order Teager-Kaiser operators for image analysis: Part I - A monocomponent image demodulation
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
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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.