Search Results - "Pizurica, A."

Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising by Pizurica, A., Philips, W.

“…We develop three novel wavelet domain denoising methods for subband-adaptive, spatially-adaptive and multivalued image denoising. The core of our approach is…”
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Skeletonization method for vessel delineation of arteriovenous malformation by Babin, D., Pižurica, A., Velicki, L., Matić, V., Galić, I., Leventić, H., Zlokolica, V., Philips, W.

“…Cerebral arteriovenous malformation (AVM) presents a great health threat due to its high probability of rupture that can cause severe brain damage. Image…”
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A versatile wavelet domain noise filtration technique for medical imaging by Pizurica, A., Philips, W., Lemahieu, I., Acheroy, M.

“…We propose a robust wavelet domain method for noise filtering in medical images. The proposed method adapts itself to various types of image noise as well as…”
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Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain by Goossens, B., Pizurica, A., Philips, W.

“…Images, captured with digital imaging devices, often contain noise. In literature, many algorithms exist for the removal of white uncorrelated noise, but they…”
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Wear patterns in knee OA correlate with native limb geometry by Van Oevelen, A., Van den Borre, I., Duquesne, K., Pizurica, A., Victor, J., Nauwelaers, N., Claes, P., Audenaert, E.

“…Background: To date, the amount of cartilage loss is graded by means of discrete scoring systems on artificially divided regions of interest (ROI). However,…”
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A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising by Pizurica, A., Philips, W., Lemahieu, I., Acheroy, M.

“…This paper presents a new wavelet-based image denoising method, which extends a "geometrical" Bayesian framework. The new method combines three criteria for…”
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Generalized pixel profiling and comparative segmentation with application to arteriovenous malformation segmentation by Babin, D., Pižurica, A., Bellens, R., De Bock, J., Shang, Y., Goossens, B., Vansteenkiste, E., Philips, W.

“…[Display omitted] ► New method for segmenting the inner structure of arteriovenous malformation (AVM). ► Pixel profile function values compared to the current…”
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Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures by Goossens, B., Pizurica, A., Philips, W.

“…We propose a new statistical model for image restoration in which neighborhoods of wavelet subbands are modeled by a discrete mixture of linear projected…”
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Passive Error Concealment for Wavelet-Coded I-Frames With an Inhomogeneous Gauss-Markov Random Field Model by Rombaut, J., Pizurica, A., Philips, W.

“…In video communication over lossy packet networks (e.g., the Internet), packet loss errors can severely damage the transmitted video. The damaged video can…”
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Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods by Jovanov, L., Pizurica, A., Schulte, S., Schelkens, P., Munteanu, A., Kerre, E., Philips, W.

“…Integrating video coding and denoising is a novel processing paradigm, bringing mutual benefits to both video processing tools. In this paper, we propose a…”
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Noise estimation for video processing based on spatio-temporal gradients by Zlokolica, V., Pizurica, A., Philips, W.

“…We propose an efficient and accurate wavelet-based noise estimation method for white Gaussian noise in video sequences. The proposed method analyzes the…”
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Wavelet-Domain Video Denoising Based on Reliability Measures by Zlokolica, V., Pizurica, A., Philips, W.

“…This paper proposes a novel video denoising method based on nondecimated wavelet band filtering. In the proposed method, motion estimation and adaptive…”
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Supervised feature-based classification of multi-channel SAR images by Borghys, D., Yvinec, Y., Perneel, C., Pizurica, A., Philips, W.

“…This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods…”
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Optimization of Packetization Masks for Image Coding Based on an Objective Cost Function for Desired Packet Spreading by Rombaut, J., Pizurica, A., Philips, W.

“…In image communication over lossy packet networks (e.g., cell phone communication), packet loss errors lead to damaged images. Damaged images can be repaired…”
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Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece by Cornelis, B., Ružić, T., Gezels, E., Dooms, A., Pižurica, A., Platiša, L., Cornelis, J., Martens, M., De Mey, M., Daubechies, I.

“…Digital image processing is proving to be of great help in the analysis and documentation of our vast cultural heritage. In this paper, we present a new method…”
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Locally Adaptive Passive Error Concealment for Wavelet Coded Images by Rombaut, J., Pizurica, A., Philips, W.

“…This letter presents a novel locally adaptive error concealment method for subband coded images. For each lost low-frequency coefficient, we estimate the…”
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An overview of state‐of‐the‐art image restoration in electron microscopy by ROELS, J., AELTERMAN, J., LUONG, H.Q., LIPPENS, S., PIŽURICA, A., SAEYS, Y., PHILIPS, W.

“…Summary In Life Science research, electron microscopy (EM) is an essential tool for morphological analysis at the subcellular level as it allows for…”
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Training neural networks on artificially generated data: a novel approach to SAR speckle removal by Van Coillie, F. M. B, Lievens, H, Joos, I, Pizurica, A, Verbeke, L. P. C, De Wulf, R. R, Verhoest, N. E. C

“…A neural network-based method for speckle removal in synthetic aperture radar (SAR) images is introduced. The method rests on the idea that a neural network…”
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Recursive temporal denoising and motion estimation of video by Zlokolica, V., Pizurica, A., Philips, W.

“…In this paper, we present a new technique for video denoising which is based on a novel motion estimation algorithm. First, a recursive temporal denoising is…”
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A Bayesian formulation of edge-stopping functions in nonlinear diffusion by Pizurica, A., Vanhamel, I., Sahli, H., Philips, W., Katartzis, A.

“…We propose a novel, Bayesian formulation of the edge-stopping (diffusivity) function in a nonlinear diffusion scheme in terms of edge probability under a…”
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