Results 31 to 40 of about 160,342 (235)
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
doaj +1 more source
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
doaj +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
doaj +1 more source
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
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
doaj +1 more source
Journal of Physics: Conference Series, 2016 This review introduces recent developments in the application of image processing, computer vision, and deep neural networks to the analysis and interpretation of particle collision events at the Large Hadron Collider (LHC).
A. Schwartzman +4 more
semanticscholar +1 more source
2D to 3D Image Conversion Algorithms [PDF]
ITM Web of ConferencesWith the emergence of Artificial Intelligence (AI), there are many applications for 3D computer vision, and different problems in diversified domains are being solved. Particularly deep learning and image processing techniques are widely used in computer
Mamand Samar Sabah +1 more
doaj +1 more source
BFGS method based variable projection approach for image restoration
IET Image Processing, 2021 In this paper, a variable projection approach based on the BFGS (Broyden–Fletcher–Goldfarb–Shanno) method for image reconstruction problems is proposed, which is an alternative to the common alternating minimisation scheme.
Qiong‐Ying Chen +4 more
doaj +1 more source
Colour image segmentation based on a convex K‐means approach
IET Image Processing, 2021 Image segmentation is a fundamental and challenging task in image processing and computer vision. The colour image segmentation is attracting more attention as the colour image provides more information than the grey image. A variational model based on a
Tingting Wu +4 more
doaj +1 more source