منابع مشابه
Image Denoising Using Curvelet Transform
Denoising techniques that are based on modifying the transform of an image are considered here. In these techniques, a reversible, linear transform (such as transforms discussed in Chapter 2) is used to map the noisy image into a set of transform coefficients, which are then filtered using a suitable thresholding technique. Fig. 4.1 shows a typical denoising system that uses transform technique...
متن کاملFingerprint Image Denoising Using Curvelet Transform
Curvelet transform is the new member of the evolving family of multiscale geometric transforms. It offers an effective solution to the problems associated with image denoising using wavelets. Finger prints possess the unique properties of distinctiveness and persistence. However, their image contrast is poor due to mixing of complex type of noise. In this paper an attempt has been made to prese...
متن کاملAn Efficient Curvelet Framework for Denoising Images
Wiener filter suppresses noise efficiently. However, it makes the out image blurred. Curvelet preserves the edges of natural images perfectly, but, it produces visual distortion artifacts and fuzzy edges to the restored image, especially in homogeneous regions of images. In this paper, a new image denoising framework based on Curvelet transform and wiener filter is proposed, which can stop nois...
متن کاملImage denoising using diffusion on curvelet-scaled Gabor filter responses
In [5], a general framework for adaptive function regularization was introduced, and this framework was demonstrated in several applications, including image denoising. The basic idea of the method applied to image denoising is to choose a set of features and consider the pixels of the image as lying in feature space. We then try to use the heat equation on the points in feature space to smooth...
متن کاملImage Variational Denoising Using Gradient Fidelity on Curvelet Shrinkage
A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional. In order to suppress the staircasing effect and curvelet-like artifacts, we use the multiscale curvelet shrinkage to compute an initial estimated image, and then we propose a new gradient fidelity term, which is designed to force the grad...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 2012
ISSN: 0378-4371
DOI: 10.1016/j.physa.2011.04.009