JIP_V2_N3_RP3 S. Swarnalatha P. Satyanarayana B. Shoban Babu Journal on Image Processing 2349-6827 2 3 19 28 Block matching with 3D filtering (BM3D), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Dual Tree Complex Wavelet Transform (DTCWT), Hyperanalytic Wavelet Transform (HWT), Hyperanalytic Dual Tree Complex Wavelet Transform (HDTCWT), Additive White Gaussian Noise (AWGN) This paper presents a comparison between the BM3D and Complex Wavelet Transform based image denoising techniques based on their performance analysis. Complex Wavelet Transforms overcome the limitations of classic Discrete Wavelet Transforms such as, shift sensitivity, poor directionality. Block Matching with 3D filtering (BM3D) technique is a combination of spatial and transform domain filtering techniques. BM3D employs the spatial filtering like Wiener Filtering, and transform based techniques such as Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT); and fusing all the filtered results into a single image to accomplish better performance. As the BM3D techniques use both the spatial and transform based filtering techniques, it achieves a better performance than that of the Complex Wavelet Transforms. However, BM3D based image denoising technique consumes more time than that of Wavelet Transform based image denoising techniques. July - September 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3602