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
doaj +1 more source
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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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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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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Adaptive pre-filtering techniques for colour image analysis [PDF]
, 2007 One important step in the process of colour image segmentation is to reduce the errors caused by image noise and local colour inhomogeneities. This can be achieved by filtering the data with a smoothing operator that eliminates the noise and the ...
Dana Elena Ilea +3 more
core +1 more source
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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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
doaj +1 more source
Deep forgery discriminator via image degradation analysis
IET Image Processing, 2021 Generative adversarial network‐based deep generative model is widely applied in creating hyper‐realistic face‐swapping images and videos. However, its malicious use has posed a great threat to online contents, thus making detecting the authenticity of ...
Miaomiao Yu +5 more
doaj +1 more source
Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques [PDF]
Sensors, 2020 One of the most important operations during the manufacturing process of a pressure vessel is welding. The result of this operation has a great impact on the vessel integrity; thus, welding inspection procedures must detect defects that could lead to an accident.
Yarens J. Cruz +4 more
openaire +4 more sources
Object scale selection of hierarchical image segmentation with deep seeds
IET Image Processing, 2021 Hierarchical image segmentation is a prevalent technique in the literature for improving segmentation quality, where the segmentation result needs to be searched at different scales of the hierarchy to identify objects represented from various scales. In
Zaid Al‐Huda +3 more
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