Proceedings ArticleDOI
Image Denoising Method Based on Curvelet Cycle Spinning
Yuanhang Cheng,Yanping Li,Dingyu Xue +2 more
- pp 1-3
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TLDR
In this article, a new method of image denoising was put forward, based on integrated utilization of Curvelet transform and Cycle spinning, the simulation experiment indicated that the algorithm had perfect inhibiting ability for noise, moreover, it can protect the detail information of image; when different kinds of impulse noise images with different density were filtered, satisfied results can always be obtained.Abstract:
A new method of image denoising was put forward, based on integrated utilization of Curvelet transform and Cycle spinning. Because there existed "encircling" phenomenon for Curvelet transform, if images threshold denoising of Curvelet coefficients was performed directly, the image would be distorted, in this paper, Cycle spinning was introduced to eliminate the image distortion produced by "encircling". The simulation experiment indicated that the algorithm had perfect inhibiting ability for noise, moreover, it can protect the detail information of image; when different kinds of impulse noise images with different density were filtered, satisfied results can always be obtained.read more
Citations
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Journal ArticleDOI
Adaptive Switching Non-local Filter for the Restoration of Salt and Pepper Impulse-Corrupted Digital Images
TL;DR: In this article, an effective nonlinear adaptive switching non-local filter for the restoration of impulse-corrupted digital images by using distinct impulse detection and correction stages is presented. But, the algorithm works in this nonlocal mode only when there are sufficient uncorrupted pixels in the local neighborhood of the corrupted pixel to be replaced.
Journal ArticleDOI
Impulse Noise Cancellation of Medical Images Using Wavelet Networks and Median Filters
TL;DR: Experimental results show that the wavelet network presented here is a fixed one without learning that acts on impulse noise effectively, and at the same time preserves chromaticity and image details very well.
Proceedings Article
Higher quality of infrared images for future network security systems
TL;DR: A novel denoising algorithm based on Cohen-Daubechies-Feauveau wavelets followed by the low-pass filters with the length 9 and 7 (CDF 9/7) wavelet transform is proposed to obtain a good quality of IR image for the future network security.
Proceedings ArticleDOI
Filtering Technology of Electronic Speckle Pattern Interferometry Image Based on Curvelet Transform
TL;DR: The experimental results showed that the method of Curvelet transform is superior to traditional filtering methods in speckle images, has a better performance in the fringe contrast, high-PSNR and lower Speckle index, and is effective in noise removal and extraction of edge information for ESPI images.
References
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Book
Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI
Detail-preserving median based filters in image processing
Tong Sun,Yrjö Neuvo +1 more
TL;DR: A switching scheme for median filtering which is suitable to be a prefilter before some subsequent processing e.g. edge detection or data compression is presented to remove impulse noises in digital images with small signal distortion.
Journal ArticleDOI
A new efficient approach for the removal of impulse noise from highly corrupted images
TL;DR: A new framework for removing impulse noise from images is presented in which the nature of the filtering operation is conditioned on a state variable defined as the output of a classifier that operates on the differences between the input pixel and the remaining rank-ordered pixels in a sliding window.
Journal ArticleDOI
Median filters with adaptive length
H.-M. Lin,Alan N. Willson +1 more
TL;DR: Two algorithms using adaptive-length median filters are proposed for improving impulse-noise-removal performance for image processing and can achieve significantly better image quality than regular median filters when the images are corrupted by impulse noise.
Journal ArticleDOI
Rank conditioned rank selection filters for signal restoration
TL;DR: A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed and extensive computer simulation results that illustrate the performance of RCRS filters in comparison with other techniques in image restoration applications are presented.