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36 results for “Denoising”
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Research ArticleOpen accessEvery word in the titleComparison of Denoising Algorithms for Urban ScenesSamuel KozaitisSeveral new denoising algorithms have recently been presented that display comparable performance and it is unclear which provide the best results. We used the practical example of urban scenes to compare two of the top-performing algorithms. We found that when using the practical case of quantizing input and output imagery, the results were different than when using the conventional method … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 20 Jun 2017 · 7,849 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRegularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising AutoencodersPavel Vyacheslavovich Skribtsov, Sergey Olegovich SurikovThis article offers a regularization method for training stacked sparse denoising autoencoders aimed at designing model description of objects used for image denoising and inpainting. The offered regularization method allows increasing the generalizing ability of model description, which results in greater stability of denoising methods using it with regard to variation of the noise type. This makes the offered method … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 13 Jan 2016 · 7,609 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleK-MEANS BASED IMAGE DENOISING USING BILATERAL FILTERING AND TOTAL VARIATIONDanu Wiroteurairuang, Sanun Srisuk, Chom Kimpan, Thanwa SripramongBilateral filter and Total variation image denoising are widely used in image denoising. In low noisy level, bilateral filtering is better than TV denoising for it reveals better SNR and sharper edges. However, in high noisy level, TV denoising outperforms bilateral filtering in terms of SNR and more details of non edges. It is very difficult to perform denoising of … …Journal of Computer Science, Vol. 10, Issue 12 · 30 Dec 2014 · 8,171 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFUZZY SHRINK IMAGE DENOISING USING SMOOTHING SPLINE ESTIMATIONG.M. Rajathi, R. Rangarajan, R. Haripriya, R. NithyaThe image data is normally corrupted by additive noise during acquisition. This reduces the accuracy and reliability of any automatic analysis. For this reason, denoising methods are often applied to restore the original image. In proposed method a wavelet shrinkage algorithm based on fuzzy logic and the DT-DWT scheme is used. In particular, intra-scale dependency within wavelet coefficients is modeled … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,681 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModified Curvelet Thresholding Algorithm for Image DenoisingAl-Dahoud Ali, Preety D. Swami, J. SinghaiProblem statement: This study introduced an adaptive thresholding method for removing additive white Gaussian noise from digital images. Approach: Curvelet transform employed in the proposed scheme provides sparse decomposition as compared to the wavelet transform methods which being nongeometrical lack sparsity and fail to show optimal rate of convergence. Results: Different behaviors of curvelet transform maxima of image and noise … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,255 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleECG Signal Denoising By Wavelet Transform ThresholdingMikhled Alfaouri, Khaled DaqrouqIn recent years, ECG signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. In this paper a new approach based on the threshold value of ECG signal determination is proposed using Wavelet Transform coefficients. Electrocardiography has had a profound influence on the practice of medicine. The electrocardiogram signal contains an important amount of … …American Journal of Applied Sciences, Vol. 5, Issue 3 · 31 Mar 2008 · 16,507 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Denoising Algorithm for Impulse Noise RemovalA. Rajamani, V. KrishnaveniNow-a-days the images acquired by the digital cameras and defective sensors tend to introduce noises during either image acquisition or transmission process. The quality of the image is degraded in a significant measure. Lot of research works was carried out for several decades to denoise the impulse noise and each approach has its own merits and demerits. This study deals … …Journal of Computer Science, Vol. 11, Issue 1 · 10 Sep 2014 · 6,814 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Performance of a Dual Header Pulse Interval Modulation in the Presence of Artificial Light Interferences in an Indoor Optical Wireless Communications Channel with Wavelet DenoisingS. Rajbhandari, Z. Ghassemlooy, M. AngelovaProblem statement: Similar to other baseband modulation schemes, the performance of the Dual Header Pulse Interval Modulation (DH-PIM) is adversely affected by Artificial Light Interferences (ALI) in an indoor Optical Wireless Communications (OWC) channel. Approach: The Discrete Wavelet Transform (DWT) based denoising is studied for reducing the effect of the ALI. Computer simulation is carried out to demonstrate the effectiveness … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 18 Jan 2012 · 7,780 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Analysis of Satellite Image Pre-Processing TechniquesT. Sree Sharmila, K. Ramar, T. SreeRenga RajaSatellite images are corrupted by noise in its acquisition and transmission. The removal of noise from the image by attenuating the high frequency image components, removes some important details as well. In order to retain the useful information and improve the visual appearance, an effective denoising and resolution enhancement techniques are required. In this research, Hybrid Directional Lifting (HDL) technique … …Journal of Computer Science, Vol. 9, Issue 2 · 1 Apr 2013 · 7,308 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Extension of Yoshida, Imoto, Higuchi and Miyano ResultB. OnoghojobiProblem statement: Different approaches to deal with dynamic model when it is studentized are presented. Approach: In this respect, the recursive formula for calculating state space in the canonical form. Results: The asymptotic distribution of their test under the linear system for the gene network and a studentized-dynamic linear model with Markov denoising switching for estimating time-dependent gene network structure … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,798 accessesView PDFCite