Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
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Computer Vision Tools for 3D Modelling in Archaeology [PDF]
, 2012 In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization.
Lo Brutto, M., Meli, P.
core +2 more sources
Infrared imaging enhancement through local window‐based saliency extraction with spatial weight
IET Image Processing, 2021 Infrared image enhancement is an effective way to solve contrast reduction or details degradation in infrared imagery. An infrared enhancement approach based on local saliency extraction is proposed here. First, saliency maps are extracted within a local
Tong Li +4 more
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Adversarial Attacks on Deep Neural Networks for Time Series Classification [PDF]
, 2019 Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety.
Fawaz, Hassan Ismail +4 more
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Electronics Letters, 2021 In the field of image processing, tangling noise and artefacts elimination of objects are two essential tasks. Tangling noise and lack of intensity in certain applications also occur at the same time.
Muhammad Ashfaq Khan +5 more
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Angular‐flexible network for light field image super‐resolution
Electronics Letters, 2021 Light field (LF) cameras capture scenes from multiple views and provide additional angular information for image super‐resolution (SR). Existing CNN‐based LF image SR methods commonly develop specific models for different angular resolutions.
Zhengyu Liang +4 more
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IMAGE-BASED MODELING TECHNIQUES FOR ARCHITECTURAL HERITAGE 3D DIGITALIZATION: LIMITS AND POTENTIALITIES [PDF]
, 2013 3D reconstruction from images has undergone a revolution in the last few years. Computer vision techniques use photographs from data set collection to rapidly build detailed 3D models.
DI PAOLA, Francesco +2 more
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An adaptive level set method based on joint estimation dealing with intensity inhomogeneity
IET Image Processing, 2021 Automatic object segmentation has been a challenging task due to intensity inhomogeneity. The traditional way is to eliminate the intensity inhomogeneity, which causes the object to lose useful intensity information. The authors propose an adaptive level
Jiang Zhu +4 more
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Coagulation time detection by means of a real-time image processing [PDF]
, 1992 Several techniques for semi-automatic or automatic detection of coagulation time in blood or in plasma analysis are available in the literature. However, these techniques are either complex and demand for specialized equipment, or allow the analysis of ...
Gasull Llampallas, Antoni +2 more
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Capital Letter Pattern Recognition in Text to Speech by Way of Perceptron Algorithm
Knowledge Engineering and Data Science, 2017 Computer vision is a data transformation retrieved or generated from webcam into another form in means of determining decision. All kinds of transformations are carried through to attain specific aims.
Novan Wijaya
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