Adaptive spatio-temporal filtering for video denoising using integer wavelet transform

In this paper, Spatial video denoising using wavelet transform has been focussed as it requires less computation and more suitable for real-time applications. Two specific techniques for spatial video denoising using wavelet transform are considered in this work, 2D Discrete Wavelet Transform (2D DWT) and Integer wavelet transform. Each of these techniques has its advantages and disadvantages. The first technique gives less quality at high levels of noise but consumes less time while the second gives high quality video while consuming long. In this work, we introduce an intelligent denoising system that makes a trade-off between the quality of the denoised video and the time required for denoising. The simulation results show that the proposed system is more suitable for real time applications where the time is critical while giving high quality videos especially at low to moderate levels of noise.