Fpga Based Efficient Parallel Architecture of Lifting Based Cdf (2,2) for Image Compression

An improved architecture for two-dimensional discrete wavelet transform (2D-DWT) to implement bi-orthogonal CohenDaubechies-Feuvear (CDF) (2,2) wavelet with line-based method is proposed for FPGA implementation using lifting scheme. The FPGA based hardware implementation profits especially from the high parallelism in the architecture and the moderate number precision required to preserve the qualitative effects of the mathematical models. The proposed architecture is designed to generate 4 sub bands coefficients concurrently per clock cycle that can perform a 1-level decomposition of a N x N image in exactly N / 4 working clock cycles, without any line buffers at the column processor, thus reducing the time for line buffering but 2 with an extra row processor and with 100% hardware utilization.