Results 311 to 320 of about 18,244,520 (347)
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2010
We present a novel probabilistic algorithm for image noise removal. The algorithm is inspired by the Google PageRank algorithm for ranking hypertextual world wide web documents and based upon considering the topological structure of the photometric similarity between image pixels. We provide computationally efficient strategies for obtaining a solution
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We present a novel probabilistic algorithm for image noise removal. The algorithm is inspired by the Google PageRank algorithm for ranking hypertextual world wide web documents and based upon considering the topological structure of the photometric similarity between image pixels. We provide computationally efficient strategies for obtaining a solution
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Attention-guided CNN for image denoising
Neural Networks, 2020Deep convolutional neural networks (CNNs) have attracted considerable interest in low-level computer vision. Researches are usually devoted to improving the performance via very deep CNNs. However, as the depth increases, influences of the shallow layers
Chunwei Tian +5 more
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An image topic model for image denoising
Neurocomputing, 2015Abstract Topic model is a powerful tool for the basic document or image processing tasks. In this study we introduce a novel image topic model, called Latent Patch Model (LPM), which is a generative Bayesian model and assumes that the image and pixels are connected by a latent patch layer.
Bo Fu 0001 +3 more
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Curvelet image denoising of mammogram images
International Journal of Medical Engineering and Informatics, 2013Mammography, the most commonly used diagnostic technique is used for early detection of breast cancer. As mammograms are low contrast and noisy images, it is essential to reduce noise while preserving fine details and edges. In order to obtain efficient diagnosis, a constructive analysis curvelet is used to provide optimal sparse representation of ...
Malar Elangeeran +4 more
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Iterative denoising of sparse images
2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016The paper examines an application of the gradient-based algorithm to image denoising with noise values being in the range of the available (non-noisy) pixel values. The analyzed image is considered to be sparse in the 2D-DCT domain. The presented algorithm is a generalization of the previous results on denoising images when the noisy pixels can be ...
Isidora Stankovic +3 more
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A Denoising Framework for Image Caption
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019Image caption is one of the hottest research topics at the moment in the image processing field. However, most image caption models based on the Encoder-Decoder framework cannot accurately find the alignment relationship between objects in the image and objects in the text, resulting in an inaccurate description.
Yulong Zhang +3 more
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Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing, 2007Kostadin Dabov +3 more
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A non-local algorithm for image denoising
Computer Vision and Pattern Recognition, 2005A. Buades, B. Coll, J. Morel
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2016
Presence of noise poses a common problem in image recognition tasks. In this paper we propose and analyse architecture of convolutional neural network capable of image denoising. We evaluate its performance with various types of artificial distortions present, with both known and unknown noise conditions.
Michal Koziarski, Boguslaw Cyganek
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Presence of noise poses a common problem in image recognition tasks. In this paper we propose and analyse architecture of convolutional neural network capable of image denoising. We evaluate its performance with various types of artificial distortions present, with both known and unknown noise conditions.
Michal Koziarski, Boguslaw Cyganek
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A Complete Review on Image Denoising Techniques for Medical Images
Neural Processing Letters, 2023Amandeep Kaur, Guanfang Dong
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