Feature extraction for low bit rate image coding using a generalized wavelet transform
Roland Wilson, Andrew D. Calway, Taoi Hsu, P. Meulemans · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
This paper describes how a generalization of the wavelet transform -- the multiresolution Fourier transform (MFT) -- can be used in model-based coding, in which image features including boundary contours and textures can be extracted directly from the transform coefficients. As such, it has the potential to extend transform coding to very low bit rate, feature-based compression. Results of the work are presented to demonstrate the effectiveness of the methods.