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A New Shearlet Framework for Image Denoising

E. Ehsaeyan
2016 Iranian Journal of Electrical and Electronic Engineering  
Then, the low frequency band is refined by Wiener filter and the high-pass bands are denoised via NeighShrink model.  ...  Our results in standard images show the good performance of this algorithm, and prove that the algorithm proposed is robust to noise.  ...  Conclusion This paper presented a new approach for image denoising based on shearlet transform, Wiener filter and NeighShrink SURE model.  ... 
doaj:3a89c102bf234cbaad1fe51296ac8ded fatcat:fjspp53hzzfndfehfcqritzvhe

An Image Denoising Method Based on BM4D and GAN in 3D Shearlet Domain

Shengnan Zhang, Lei Wang, Chunhong Chang, Cong Liu, Longbo Zhang, Huanqing Cui
2020 Mathematical Problems in Engineering  
To overcome the disadvantages of the traditional block-matching-based image denoising method, an image denoising method based on block matching with 4D filtering (BM4D) in the 3D shearlet transform domain  ...  Firstly, the contaminated images are decomposed to get the shearlet coefficients; then, an improved 3D block-matching algorithm is proposed in the hard threshold and wiener filtering stage to get the latent  ...  , target recognition [14] , and image fusion [15] . erefore, a novel image denoising method based on block matching with 4D filtering in the 3D shearlet transform domain and the generative adversarial  ... 
doi:10.1155/2020/1730321 fatcat:etrh2bd77bd5djo4ruizvo5iei

Inverse halftoning using a shearlet representation

Glenn R. Easley, Vishal M. Patel, Dennis M. Healy, Jr., Vivek K. Goyal, Manos Papadakis, Dimitri Van De Ville
2009 Wavelets XIII  
In this paper, we present a new approach for inverse halftoning of error diffused halftones using a shearlet representation.  ...  We then adaptively estimate a gray-scaled image from these shearlet-toned or shear-tone basis elements in a multi-scale and anisotropic fashion.  ...  We summarize the main steps of the shearlet-based inverse halftoning algorithm as follows: Shearlet-based Inverse Halftoning Algorithm Given α j, , for some j and . • Use the shearlet filter G j, and apply  ... 
doi:10.1117/12.825640 fatcat:7cwdf7ah4fdd5knnp5vzu7lkmi

Multibaseline Interferometric Phase Denoising Based on Kurtosis in the NSST Domain

Yanfang Liu, Shiqiang Li, Heng Zhang
2020 Sensors  
A filtering method based on the non-subsampled shearlet transform (NSST) and Wiener filter with estimated noise variance is proposed then.  ...  A pre-thresholded Wiener filtering with estimated noise variance is employed for shrinking or zeroing NSST coefficients. Finally, the inverse NSST is utilized to obtain the filtered interferograms.  ...  Acknowledgments: The author would like to thank a anonymous reviewers and the editors for their significant and constructive comments.  ... 
doi:10.3390/s20020551 pmid:31963906 pmcid:PMC7014521 fatcat:bqcqpvirhveojlxtsjjh4vsqbu

Image deblurring using empirical Wiener filter in the curvelet domain and joint non-local means filter in the spatial domain

H. Yang, Z. B. Zhang, D. Y. Wu, H. Y. Huang
2013 Imaging Science Journal  
Our method restores the image in the frequency domain to obtain a noisy result with minimal loss of image components, followed by an empirical Wiener filter in the curvelet domain to attenuate the leaked  ...  This algorithm restores the blurred image by incorporating a curvelet-based empirical Wiener filter with a spatial-based joint non-local means filter.  ...  In these methods, the Wiener filter 11, 12 and the constrained least squares algorithm, 11 can solve this problem in the frequency domain in a fast speed.  ... 
doi:10.1179/1743131x12y.0000000040 fatcat:k5rw35o5ynfuvk4u3cquiwq67u

Denoising sparse images from GRAPPA using the nullspace method

Daniel S. Weller, Jonathan R. Polimeni, Leo Grady, Lawrence L. Wald, Elfar Adalsteinsson, Vivek K. Goyal
2011 Magnetic Resonance in Medicine  
in terms of difference images (a qualitative measure), peak-signal-to-noise ratio, and noise amplification (gfactors) as measured using the pseudo-multiple replica method.  ...  In addition, the measured g-factors suggest that DEnoising of Sparse Images from GRAPPA using the Nullspace method mitigates noise amplification better than both GRAPPA and L 1 iterative self-consistent  ...  Wiener filter denoising, and L 1 SPIR-iT in Fig. 7 as is done in the previous performance comparisons.  ... 
doi:10.1002/mrm.24116 pmid:22213069 pmcid:PMC3323741 fatcat:vr2q3lmc4zhgbecyg6mrjfj25m

Guided Filter based Edge-preserving Image Non-blind Deconvolution [article]

Hang Yang, Ming Zhu, Zhongbo Zhang, Heyan Huang
2016 arXiv   pre-print
In this work, we propose a new approach for efficient edge-preserving image deconvolution. Our algorithm is based on a novel type of explicit image filter - guided filter.  ...  In the denoising step, the guided filter is used with the two obtained images for efficient edge-preserving filtering.  ...  In these meth-ods, the Wiener filter and the constrained least squares algorithm, can solve this problem in the frequency domain in a fast speed. In [1] , Neelamani etal.  ... 
arXiv:1609.01839v1 fatcat:5abigybpebdytkkjbhuylebo3i

Separated Component-Based Restoration of Speckled SAR Images

Vishal M. Patel, Glenn R. Easley, Rama Chellappa, Nasser M. Nasrabadi
2014 IEEE Transactions on Geoscience and Remote Sensing  
maintaining the data needed, and completing and reviewing the collection of information.  ...  The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and  ...  It is well known that shrinkage-based denoising algorithms rely on the sparsity of the representation.  ... 
doi:10.1109/tgrs.2013.2246794 fatcat:yph24vykdjc3nhcv4antkum6rm

Smart Nanoscopy: A Review of Computational Approaches to achieve Super-resolved Optical Microscopy

Shiraz S. Kaderuppan, Wai Leong Eugene Wong, Anurag Sharma, Wai Lok Woo
2020 IEEE Access  
In this review, we take a step back in the field, evaluating the various in silico methods used to achieve optical nanoscopy today, ranging from traditional deconvolution algorithms (such as the Nearest  ...  Neighbors algorithm) to the latest developments in the field of computational nanoscopy, founded on artificial intelligence (AI).  ...  In so doing, [78] proposed defining the fundamental deconvolution functions using Wiener filtering followed by transform-domain denoising.  ... 
doi:10.1109/access.2020.3040319 fatcat:sw3zqkv6zrcajdlydpyqnjgj34

An Enhanced Low Rank Approximation SVD-Based Method for Image Denoising

2019 International Journal of Engineering and Advanced Technology  
In this paper, we propose a computationally simple denoising algorithm using the nonlocal self-similarity and the low-rank approximation (LRA). The proposed method consists of three basic steps.  ...  Nonlocal self-similarity of images has attracted considerable interest in the field of image processing and has led to several state-of-the-art image denoising algorithms, such as block matching and 3-  ...  In general, denoising algorithms can be roughly classified into three categories: 1) spatial domain methods; 2) transform domain methods; and 3) hybrid methods [3] , [4] .  ... 
doi:10.35940/ijeat.f1349.0986s319 fatcat:pfwuwucxlvhgljqpcbzyp7vc5u

High temporal resolution total-body dynamic PET imaging based on pixel-level time-activity curve correction [article]

Zixiang Chen, Yaping Wu, Na Zhang, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2021 arXiv   pre-print
In this work, based on dynamic PET data acquired by uEXPLORER, we proposed a dPET processing method that denoises images with short frame durations via pixel-level time-activity curve (TAC) correction  ...  Higher temporal imaging resolution for the early stage of radiotracer metabolism is desired; however, in this case, the reconstructed images with short frame durations always suffer from a limited image  ...  ., which includes wavelet processing, a temporally extended NLM filter and Shearlet transform in the processing framework [30] .  ... 
arXiv:2108.03838v2 fatcat:icfcpbx3kbgmhc3ctr2u445pg4

Speckle Noise Reduction and Segmentation Techniques in Ultrasound for Detection of Fetal Abnormality - A Survey

K Priya Dharshini, K Srinivasan, R Ramya
2018 DJ Journal of Advances in Electronics and Communication Engineering  
A major problem prevailing in fetal ultrasound is the lack of clarity of an image and is unable to be diagnosed by the physicians.  ...  It is a granular noise that degrades the quality of images, and it affects image interpretation. This can be overcome by using various filtering techniques.  ...  The comparison between different filtering techniques such as hybrid wiener-H filtering technique, LSH frequency domain filtering technique and advance Mexican hat linear spatial filtering technique are  ... 
doi:10.18831/ fatcat:ut3mvg3s5fcttlvdvpg5gy6xhu

Blind restoration for nonuniform aerial images using nonlocal Retinex model and shearlet-based higher-order regularization

Rui Chen, Huizhu Jia, Xiaodong Xie, Wen Gao
2017 Journal of Electronic Imaging (JEI)  
The experimental results demonstrate that our algorithm can not only remove both the space-varying illumination and motion blur in the aerial image effectively but also recover the abundant details of  ...  For constructing the multi-scale sparsified regularizer, the discrete shearlet transform is improved to better represent anisotropic image features in term of directional sensitivity and selectivity.  ...  Based on certain optimal estimation criterion, this problem can be solved by the classical Richardson-Lucy algorithm 5, 6 , Wiener filter 7 and the ordinary constrained least squares techniques 8 with  ... 
doi:10.1117/1.jei.26.3.033016 fatcat:6itkkvmobfeubgs5ydtj3k2sly

Anisotropic nonlocal means denoising

Arian Maleki, Manjari Narayan, Richard G. Baraniuk
2013 Applied and Computational Harmonic Analysis  
It has recently been proved that the popular nonlocal means (NLM) denoising algorithm does not optimally denoise images with sharp edges.  ...  On real-world test images, an ANLM algorithm that adapts to the underlying image gradients outperforms NLM by a significant margin.  ...  Denoising algorithms have evolved from the classical linear and median filters to more modern schemes like total variation denoising [1] , wavelet thresholding [2] , and bilateral filters [3] [4] [5  ... 
doi:10.1016/j.acha.2012.11.003 fatcat:2dhg7go5grhxxoevrinzjrhvyi

Table of contents

2018 2018 14th IEEE International Conference on Signal Processing (ICSP)  
doi:10.1109/icsp.2018.8652480 fatcat:elhxwghl3zbdflbxblxafw2f7i
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