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Image Formation
In https://go.sn.pub/bD6sdh this chapter we discuss how images, discussed in... -
Underwater image sharpening and color correction via dataset based on revised underwater image formation model
Underwater images bring about substantial information to many tasks regarding marine science or coastal engineering. Meanwhile, enhancement of...
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Image Formation
Before we can intelligently analyze and manipulate images, we need to establish a vocabulary for describing the geometry of a scene. We also need to... -
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Quantitative image analysis of thrombus formation in microfluidic in-vitro models
In this study, we present a method to quantitatively analyze the thrombus formation process through image analysis in an in vitro thrombus model with...
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Formation energy prediction of crystalline compounds using deep convolutional network learning on voxel image representation
Emerging machine-learned models have enabled efficient and accurate prediction of compound formation energy, with the most prevalent models relying...
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Effects of tectonic fracture on reservoir quality of Asmari formation in one of south-west Iranian oilfields using formation micro imager image logs
In fractured carbonate rocks, reservoir quality is controlled by the fracture properties. Fracture system characteristics in naturally fractured...
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Stability of the Formation of an Image Using a Terajet with Respect to the Beam Shift
The shift of an image of a dielectric sphere asymmetrically irradiated by a terahertz Gaussian beam in terahertz imaging systems has been...
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Computational study of diffraction image formation from XFEL irradiated single ribosome molecule
Single particle imaging at atomic resolution is perhaps one of the most desired goals for ultrafast X-ray science with X-ray free-electron lasers....
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Computer Simulation of Image Formation by Diffraction Lens
AbstractWe offer computer technology for simulating the imaging process using diffraction optical harmonic lenses. The technology is built in a...
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High-Definition Image Formation Using Multi-stage Cycle Generative Adversarial Network with Applications in Image Forensic
In the modern world, human safety and crime control are daunting tasks. Each year the number of street crime cases has been increasing. In many...
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Identity Formation, Body Image, and Body-Related Symptoms: Developmental Trajectories and Associations Throughout Adolescence
Emerging evidence highlights the intricate link between identity and one’s body, however, integrative longitudinal research on this identity-body...
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After-image formation by adaptation to dynamic color gradients
The eye’s retinotopic exposure to an adapter typically produces an after-image. For example, an observer who fixates a red adapter on a gray...
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Formation of 2D Image Contours in the Zeroth and Plus Second Diffraction Orders during Double Bragg’s Diffraction
AbstractThe possibility of formation of a 2D optical image contour during double Bragg’s diffraction simultaneously in two Bragg’s orders is...
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Methods of diffractive optical element generation for rapid, high-quality 3D image formation of objects divided into a set of plane layers
This article focuses on generation of diffractive optical elements (DOEs) and computer holograms for forming three-dimensional (3D) images. We intend...
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Principles of Image Formation in the Different Modalities
This chapter explores the principles of medical image formation, encompassing ionizing radiation imaging, nuclear medicine imaging, and magnetic... -
Image Formation
In this chapter we discuss how images are formed and captured, the first step in robot and human perception of the world. From images we can deduce... -
Formation and Development of Image Analysis and Pattern Recognition in the USSR, the Republic of Belarus, and the Russian Federation
AbstractPreface to the Special Issue of the journal PRIA “Leading Scientific Schools in Image Analysis, Pattern Recognition, and Related Problems of...
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Incorporating the image formation process into deep learning improves network performance
We present Richardson–Lucy network (RLN), a fast and lightweight deep learning method for three-dimensional fluorescence microscopy deconvolution....
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Talbot image formation in random phase field
The possibilities of self reproduced or Talbot image formation in the random phase field are theoretically investigated. Random field with two...