Coherent texture decomposition using AM-FM model

We introduce a novel decomposition algorithm capable of extracting locally coherent and visually meaningful texture components from images. The algorithm estimates texture dominant orientation for each coherent component and iteratively extracts it from the image based on a new quantitative coherency measure formulated in the modulation domain. The original image is perfectly reconstructed from extracted components.