Application of wavelet-cosine transform to image compression

Mariusz Ziolko (1) , Marie Babel (2)

1 SP AGH - Signal Processing Group, Department of Electronics
2 IETR - Institut d'Electronique et de Télécommunications de Rennes

A two-dimensional discrete transform which is a composition of the wavelet and the cosine transform is presented and applied to image compression. The usefulness of the 2-D wavelet and wavelet-cosine transform for the lossy compression is compared. Independently of which transform was used, the nonuniform quantization distinctly increased the efficiency of lossy compression.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Mariusz Ziolko, Marie Babel. Application of wavelet-cosine transform to image compression. 2002, pp.103-106. ⟨hal-00132730⟩