Biomedical Research

This work proposed a signal processing method known as the parallel lifting-based Canonical Signed Digit (CSD) 2D Discrete Wavelet Transform (DWT) infrastructure to realize a multiplierless architecture with lesser hardware complexity, smaller area and power consumption. The flipping structure of the lifting scheme can be recognized to reduce the longest critical path. CSD based structure is demonstrated with only adders and free of multipliers. A stripe based scanning method is adopted in order to achieve an efficient memory. JPEG 2000 lossy 9/7 filter is structured and the same scanning method with CSD is used to design 6/10 filter to contribute the evidence for the proposed methodology. In the existing method, memory efficiency is achieved with less speed. The new architecture is proposed using CSD multiplier with more speed. The filter coefficients are multiplied by 256 and are converted to integer form and then CSD representation is considered. The suggested architecture provides multiplierless infrastructure for DWT utilizing CSD. This infrastructure is appropriate for high speed online applications with less area and power consumption. For an N× (N+1) image, the suggested CSD based lifting infrastructure utilizes solely 3N temporal memory, 2S transposition memory as well as Tm+Ta critical path. The proposed technique can be effectively adapted for improving contrast in mammograms which is crucial in Telemedicine applications where bandwidth and hardware constraints exist. Simulation results show the effectiveness of the proposed technique.

Author(s): V Geetha, G Murugesan
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