The ever-advancing storage and retrieval technologies have also smoothed the way for large-scale multimedia database applications. One way to address this problem involves embedding an invisible data into the original data to mark ownership of them. Although cryptography has a long history of application to information and multimedia security, the undesirable characteristic of providing no protection to the media once decrypted has limited the feasibility of its widespread use. Digital watermarking is a process of embedding information into a digital content. It can be classified into many types, depending on various aspects. For examples, classification may be based on media type (image, audio, video and etc.), visibility (visible and invisible), robustness level (fragile, semi-fragile and robust) and the need for original data (i.e. blind, semi-blind or non-blind) which actually determines its applications. To evaluate robust watermarks, we need to evaluate how attacks affect the fidelity of an image. The mean square error (MSE) is the most popular metric to measure fidelity. In transform domain, the media content undergoes mathematical transformation before watermark embedding is done for example using Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). In this work, we proposed two level wavelet decomposition and read message image vector to combine the message image with cover image to reduce MSE and increase PSNR value which is done in FPGA architecture.