A novel max-plus algebra based wavelet transform and its applications in image processing

Max-plus algebra based wavelet transforms are considered currently to be the world´s fastest image processing methods. In the present paper a novel max-plus algebra based wavelet transform is proposed and studied both from the theoretical and practical points of view. The novel MP-wavelets considered here employ strictly neighbor pixels in the calculations and their most important properties are: very low computational complexity, flexible sampling window size and potentially, very easy hardware implementation.