Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets
Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets
A VLSI architecture for lifting-based forward and inverse wavelettransform
IEEE Transactions on Signal Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Scalable wavelet coding for synthetic/natural hybrid images
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, a high-efficient lined-based architecture for the 9/7 discrete wavelet transform (DWT) based on lifting scheme is proposed. The proposed parallel and pipelined architecture consists of a horizontal filter (HF) and a vertical filter (VF). The critical path of the proposed architecture is reduced. Filter coefficients of the biorthogonal 9/7 wavelet low-pass filter are quantized before implementation in the high-speed computation hardware. In the proposed architecture, all multiplications are performed using less shifts and additions. The proposed architecture is 100% hardware utilization and ultra low-power. The architecture has regular structure, simple control flow, high throughput and high scalability. Thus, it is very suitable for new-generation image compression systems, such as JPEG-2000.