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Donoho is the first who put forward wavelet transform based image denoising in year 1994 and the craze of wavelet based image denoising algorithm is observed till today. Now a days some researchers move ahead with advanced wavelet transforms like Curvelet, Contourlet etc. for image denoising algorithms due to superiority of these transforms w.r.t. directional selectivity, ability to give sparse representations for curves, singularities and geometric features in an image compared to wavelet transform. But popularity of some wavelet based algorithms is still observed. In this paper, author proposed technique using Rotated wavelet filter (RWF) to improve the performance of wavelet based denoising algorithms. The proposed methodology tested for general and medical (Ultrasound and X-Ray) images and proved significant improvements in quality measures PSNR and SSIM compared with the regular wavelet based approaches. The advantage of this proposed work is computational complexity which is same as discrete wavelet transform based algorithms in 2-D frequency domain platform and less execution time compare to BM3D algorithm

Novel Technique for Performance Improvement of the Wavelet based Denoising Algorithms using Rotated Wavelet Filters