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This paper presents a multichannel Curvelet based image denoising scheme using hard thresholding and multiscale Non-Local Means (NLM) filtering. For the suppression of ringing artifacts due to hard thresholding and better localization of local structures like: edges, textures and small details the reconstructed image is further processed using Guided Image Filter (GIF). Each channel of the image is...
The phase of complex transforms like Fourier, Complex wavelet and curvelet of an image is more immune to noise than its magnitude. This article analyses its immunity to additive white Gaussian noise (AWGN) both mathematically and quantitatively. We have derived noise sensitivity (i.e. the rate of change of noisy image phase or magnitude with respect to AWGN magnitude) and used Structural Similarity...
Phase only reconstructed images are indispensable for image understanding and processing nowadays. A few domain transforms like Fourier transform provide absolute phase while others like complex wavelet, curvelet etc. give relative phase. It is well known that absolute phase contains most of the information embedded in an image. However, limited attempts have been made to investigate the information...
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