论文信息 - Efficient implementation of a set of lifting based wavelet filters

Efficient implementation of a set of lifting based wavelet filters

Lifting based wavelet transform implementation not only helps in reducing the number of computations but also achieves lossy to lossless performance with finite precision. We first do a precision analysis for the set of seven filters proposed by the JPEG2000 verification model. We determine the precision required to implement the filters using fixed point 2's complement arithmetic for lossless as well as lossy coding. Next we propose a unified architecture for implementing this set of filters for both the forward and the inverse transform.

Chaitali Chakrabarti | Tinku Acharya | Kishore Andra

[1] I. Daubechies,et al. Factoring wavelet transforms into lifting steps , 1998 .

[2] I. Daubechies,et al. Wavelet Transforms That Map Integers to Integers , 1998 .

[3] Wim Sweldens,et al. Lifting scheme: a new philosophy in biorthogonal wavelet constructions , 1995, Optics + Photonics.

[4] Chaitali Chakrabarti,et al. A VLSI architecture for lifting-based wavelet transform , 2000, 2000 IEEE Workshop on SiGNAL PROCESSING SYSTEMS. SiPS 2000. Design and Implementation (Cat. No.00TH8528).

[5] Faouzi Kossentini,et al. Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis , 2000, IEEE Trans. Image Process..