Image compression using zerotrees of wavelet packets in rate-distortion sense
Jaka Persada Sembiring, Masataka NAKABAYASHI, Kudrat Soemintapoera, Kageo Akizuki · 2004
This paper proposes a new algorithm on image compression. The algorithm is obtained by combining and enhancing two previously announced research results, i.e. on the best wavelet packets bases determination in rate-distortion sense, and on image coding using zero trees of wavelet coefficients. The method in this paper begins with searching for the best bases wavelet packet decomposition of signal according to the preassigned rate and distortion values. Based on this information, we perform zero trees algorithm on the selected bases. We present several simulation results on image compression to show the effectiveness of the proposed method.