DWT Chip Design and FPGA Synthesis for Image Processing

The wavelet transforms are used for the detection, extraction, de-noising, compression and analysis of signals and images. A Discrete Wavelet Transform (DWT) is the wavelet transform in which the wavelets are discretely sampled. HAAR DWT is one the popular method of image compression as its coefficients are either 1 or -1. In the DWT, the filters are half band about the quadrature frequency of radians per sample. The image is decomposed in LL, LH, HL and HH subbands in HAAR DWT method. The research paper focuses on the design and chip implementation of 2D-DWT using VHDL programming in Vivado Design Suite 17.4 and its synthesis on Virtex 5 FPGA. The 2D original image (64 x 64) is processed in (32 x 32) size LL, LH, HL and HH subbands in level 1 decomposing and further 16 x 16 subbands decomposition in level-2 processing. The FPGA hardware utilization and Timing parameters are analyzed for the design.

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