Image compression with fully-decomposed wavelet transform
Kwo-Jyr Wong, C.‐C. Jay Kuo · 2003
The authors propose a novel transform which recursively applies the two-scale wavelet decomposition to all subimages. It is called the full wavelet transform (FWT). The authors use the FWT to transform an image into blocks of the same size, and show that these blocks have strong space-frequency correlation which can be effectively utilized to achieve high image compression ratio while preserving good image quality. The proposed method can be related to several other popular image compression schemes such as the DCT (discrete cosine transform), PWT (pyramidal wavelength transform), and SCB (subband coding) methods.>