Mathematical Problems in Engineering

Advances in Computational Imaging: Theory, Algorithms, and Systems


Status
Published

Lead Editor

1Washington University in St. Louis, St. Louis, USA

2University of Illinois at Urbana-Champaign, Urbana-Champaign, USA

3SLAC National Accelerator Laboratory, Menlo Park, USA

4Wayne State University, Detroit, USA


Advances in Computational Imaging: Theory, Algorithms, and Systems

Description

Computational imaging has emerged as an important and popular research area in recent years. Unlike conventional imaging, in which an image is formed directly at the detector, computation is inherently integrated in the image formation process of computational imaging. In addition, the unique paradigm of data acquisition and image reconstruction marries optical engineering and mathematics in computational imaging. Compared with conventional imaging, this union provides attractive advantages, such as imaging speed, signal-to-noise ratio, and information throughput. Leveraging novel mathematical models and algorithms with rapidly advancing hardware, computational imaging is versatile in a myriad of applications, especially where conventional imaging systems are inapplicable.

This special issue will present recent progress in computational imaging and advance the state of the art of this appealing area. Papers will cover broad aspects of computational imaging from both mathematical and engineering perspectives, including mathematical techniques for modeling, advanced algorithms for image reconstruction, and novel system designs for computational imaging in various spectral regimes, such as X-ray, optical, terahertz, and microwave regimes. Contributions are also welcome concerning applications using computational imaging, from fundamental science to applied research.

Potential topics include, but are not limited to:

  • Mathematical techniques and theories for system modeling
  • Algorithms for data inversion and imaging reconstruction
  • Image recovery from sparse data using compressed sensing
  • Methods and algorithms for signal/image processing and extraction
  • Methods and systems for nonconventional sensing and imaging, including integral imaging, dynamic and multidimensional imaging, coded-aperture imaging, synthesized-aperture imaging, computed tomography, and other computational imaging modalities
  • Applications, including biomedical imaging, natural and environmental research, and material characterization

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 8028743
  • - Editorial

Advances in Computational Imaging: Theory, Algorithms, and Systems

Jinyang Liang | Mohammadreza Nasiriavanaki | ... | Liang Gao
  • Special Issue
  • - Volume 2017
  • - Article ID 2586107
  • - Research Article

Study on MPGA-BP of Gravity Dam Deformation Prediction

Xiaoyu Wang | Kan Yang | Changsong Shen
  • Special Issue
  • - Volume 2016
  • - Article ID 1519542
  • - Research Article

An Improved Nondominated Sorting Genetic Algorithm for Multiobjective Problem

Ruihua Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 4904279
  • - Research Article

A Doubly Adaptive Algorithm for Edge Detection in 3D Images

Sagrario Lantarón | M. Dolores López | Javier Rodrigo
  • Special Issue
  • - Volume 2016
  • - Article ID 3141478
  • - Research Article

Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

Yakun Gao | Haibin Li | Shuhuan Wen
  • Special Issue
  • - Volume 2016
  • - Article ID 2643263
  • - Research Article

A Strong Robust Zero-Watermarking Scheme Based on Shearlets’ High Ability for Capturing Directional Features

Jian Zhao | Wensheng Xu | ... | Wanru Zhang
  • Special Issue
  • - Volume 2016
  • - Article ID 7094157
  • - Research Article

Nonlinear Least Square Based on Control Direction by Dual Method and Its Application

Zhengqing Fu | Guolin Liu | ... | Hua Guo
  • Special Issue
  • - Volume 2016
  • - Article ID 5810910
  • - Research Article

Study on Leading Vehicle Detection at Night Based on Multisensor and Image Enhancement Method

Mei Chen | Lisheng Jin | ... | Xianyi Xie
  • Special Issue
  • - Volume 2016
  • - Article ID 5289413
  • - Research Article

A Modified Adaboost Algorithm to Reduce False Positives in Face Detection

Cesar Niyomugabo | Hyo-rim Choi | Tae Yong Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 9320502
  • - Research Article

3D Modeling of Transformer Substation Based on Mapping and 2D Images

Lei Sun | Xuesong Suo | ... | Lijuan Han
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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