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Alternating guided image filtering [PDF]

PeerJ Computer Science, 2016
Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges.
Alexander Toet
doaj   +8 more sources

Self-Adaptive Low-Rank and Sparse Decomposition for Hyperspectral Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral anomaly detection is a widely used technique for exploring target of interest in hyperspectral images (HSIs). In recent years, the low-rank and sparse-decomposition-based anomaly detection model has attracted extensive attention.
Qunming Wang, Jiang Zeng, Hao Wu, Jiawen Wang, Kaipeng Sun   +4 more
doaj   +1 more source

Image dehazing based on partitioning reconstruction and entropy-based alternating fast-weighted guided filters

Optical Engineering, 2017
A robust image dehazing algorithm based on the first-order scattering of the image degradation model is proposed. In this work, there are three contributions toward image dehazing: (i) a robust method for assessing the global irradiance from the most hazy-opaque regions of the imagery is proposed; (ii) more detailed depth information of the scene can ...
Wang, Yuanyu, Yuen, Peter W. T.
openaire   +3 more sources

Hyperspectral Sparse Unmixing via Joint Robust Spatial Priors and Weighted Total Variation Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sparse unmixing, which introduces a large spectral library to transform the problem of mixed-pixel decomposition into the search for an optimal subset of endmembers that best represents the spectral characteristics of an image, has become a prominent ...
Fan Li, Xiyu Chen, Shaoquan Zhang, Jiaqiang Zhou, Huasheng Zhu, Yuyang Liu, Hongyu Zhang, Chengzhi Deng, Shengqian Wang   +8 more
doaj   +1 more source

A Hybrid Alternating Direction Method of Multipliers Based on Structural Guided Filtering for the Reconstruction of Robust Low Dose CT

Journal of Al-Turath University College
Reduced radiation exposure in the process of computed tomography (CT) needs to be kept down in order to protect the health of patients. Automated and deep learning methods offer rapid, efficient reconstructions of higher-quality low-dose CT images. But these control images increasingly show that, due to undesired artifacts, quantum noise and streak ...
Aous Abdul Rahman Owaid Al-Khezraji, Rafid A. Haleot   +1 more
openaire   +1 more source

Peer Review #1 of "Alternating guided image filtering (v0.1)"

, 2016
openaire   +3 more sources

A single-chip, dual-gain color-NIR camera for fluorescence-guided lung and breast cancer surgery. [PDF]

Light Sci Appl
Zhu Z, Hajek B, Jin Y, Stojanovski S, Jankulovska A, Angjushev D, Djikovski I, Jakupi N, Colanceski R, Ferati I, Antevski B, Vela I, Despotovski D, Tolevska Dimitrovska N, Bogdanovska Todorovska M, Kondov G, Kondov B, Nie S, Singhal S, Gruev V.   +19 more
europepmc   +1 more source

View-Aligned Nonlocal Low-Rank Tensor Reconstruction for Snapshot Compressive Multi-View Spectral Imaging System. [PDF]

Sensors (Basel)
Yin X, Su L, Wang Y, Yuan Y.
europepmc   +1 more source

AI-assisted optoelectrokinetic control of active self-propelling micromotors for independent navigation with multimode motions. [PDF]

Sci Adv
Liu J, Zheng Z, Hou Y, Shi Q, Huang Q, Han J, Sitti M, Wang H.   +7 more
europepmc   +1 more source

Combining EEG-guided HD-tACS and Immersive Virtual Reality for Social Prediction Training in Congenital and Acquired Cerebellar Damage: A randomized sham-controlled trial protocol. [PDF]

PLoS One
Ciricugno A, Borgatti R, Cattaneo Z, Di Russo F, Iosa M, Oldrati V, Romaniello R, Salera C, Siciliano L, Tieri G, Urgesi C, Leggio M.   +11 more
europepmc   +1 more source