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Recently the Wavelet Transform has gained a lot of popularity in the field of signal and image processing, this is due to its capability of providing both time and frequency information simultaneously. In this paper, focus on used Discrete Wavelet Transform 2-dimenssion )2DDWT) based on conventional approach, convolution, to image processing and implementation by using FPGA (Field Programmable Gate Array) ,due to many researches were implemented on this Hardware in recent years ,using VHDL. In this paper, has been proposed two VHDL architectures to implementation the conventional of the Daubechies 5/3-tap biorthogonal filter bank, a simple – straightforward one and an optimized one, substituting the multipliers used for scaling with shift – add operations. The architecture of optimized approaches were designed and implemented on FPGA, type of Xilinx XC3S500E Spartan-3E.

Representation of the Wavelet Transform 2D using A 5/3 Filter on the Field Programmable Gate Array