There has been a lot of research work dedicated towards image denoising compared to those of video denoising due its complexity. However, with the wide spread of video usage in many fields of our lives, it becomes very important to develop new techniques for video denoising. The previous research in spatial video denoising was based on two of the famous techniques in the image denoising named 2-D Discrete Wavelet Transform (2D DWT) and 2-D Dual-tree Complex Wavelet Transform (2D DTCWT), which surpass the available image denoising techniques. In this paper, we introduce a comparative study of applying both Discrete Wavelet Transform and Dual-tree Complex Wavelet Transform techniques to the spatial video denoising. The main goal of this study is to exploit the advantages and disadvantages of using these techniques so as to determine the proper application of both.