Comparative Study of Dual-Tree Complex Wavelet Transform and Double Density Complex Wavelet Transform for Image Denoising Using Wavelet-Domain
نویسندگان
چکیده
There has been a lot of research work dedicated towards image denoising. However, with the wide spread of image usage in many fields of our lives, it becomes very important to develop new techniques for image denoising. The previous research in image denoising was based on two of the famous techniques in the image denoising named 2-D Dual-tree Complex Wavelet Transform (2D DTCWT) and 2-D Double Density Complex Wavelet Transform (2D DDCWT). In this paper, we introduce a comparative study of applying both Dualtree Complex Wavelet Transform and Double Density Complex Wavelet Transform techniques to the image 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.
منابع مشابه
Image Denoising using Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT
Non-stationary signal processing applications use standard non-redundant DWT (Discrete Wavelet Transform) which is very powerful tool. But it suffers from shift sensitivity, absence of phase information, and poor directionality. To remove out these limitations, many researchers developed extensions to the standard DWT such as WP (Wavelet Packet Transform), and SWT (Stationary Wavelet Transform)...
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