Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.9
2.7
Journals
Symmetry
Special Issues
Symmetry in Image Processing and Visualization
share announcement

Symmetry in Image Processing and Visualization

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (15 April 2022) | Viewed by 7660

Special Issue Editors

Dr. Ran-Zan Wang

E-Mail Website1 Website2
Guest Editor
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan City 32003, Taiwan
Interests: image processing; media security; pattern recognition; interaction design
Dr. Wen Pinn Fang

E-Mail Website1 Website2
Guest Editor
Department of Information Communication, Yuan Ze University, Taoyuan City 32003, Taiwan
Interests: mobile application design; multimedia information system; interface design and application; geometry modeling; image processing

Special Issue Information

Dear Colleagues,

Symmetry in digital image processing and visualization is one of the most rapidly evolving fields of information technology today, and its applications are widely expanded in various fileds such as medical imaging, remote sensing, industrial inspection, computer vision and robotics, photo editing, and information visualization. With the rapid growth of multimedia content in social media and smartphone apps, innovative image processing tools and applications are popular for providing featured images to promote the aesthetics, entertainment, publicity, integrity, and security of these applications. The symmetry between visual quality and system performance is one of the most important issues for implementing practical applications. This Special Issue of symmetry invites original research or studies into techniques and applications of symmetry in image processing and visualization. Topics of interest include, but are not limited to, the following:

  • Symmetric image filtering, enhancement, and smoothing
  • Image analysis, segmentation, recognition, and understanding
  • Image representation, compression, and coding
  • Symmety-based data visualization
  • Symmetry-based image communication
  • Image hiding and steganography
  • Image sharing and visual secret sharing
  • Artifical intelligence and image processing
  • Symmetric image processing applications

Submit your paper and select the Journal “Symmetry” and the Special Issue “Symmetry in Image Processing and Visualization” via: MDPI submission system. Our papers will be published on a rolling basis and we will be pleased to receive your submission once you have finished it.

Dr. Ran-Zan Wang
Dr. Wen Pinn Fang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • symmetry
  • image processing
  • image analysis
  • image segmentation
  • data visualization
  • image hiding
  • steganography
  • deep learning
  • convolutional neural network

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 3771 KiB  
Article
Image Segmentation via Multiscale Perceptual Grouping
by Ben Feng and Kun He
Symmetry 2022, 14(6), 1076; https://0-doi-org.brum.beds.ac.uk/10.3390/sym14061076 - 24 May 2022
Cited by 1 | Viewed by 1157
Abstract
The human eyes observe an image through perceptual units surrounded by symmetrical or asymmetrical object contours at a proper scale, which enables them to quickly extract the foreground of the image. Inspired by this characteristic, a model combined with multiscale perceptual grouping and [...] Read more.
The human eyes observe an image through perceptual units surrounded by symmetrical or asymmetrical object contours at a proper scale, which enables them to quickly extract the foreground of the image. Inspired by this characteristic, a model combined with multiscale perceptual grouping and unit-based segmentation is proposed in this paper. In the multiscale perceptual grouping part, a novel total variation regularization is proposed to smooth the image into different scales, which removes the inhomogeneity and preserves the edges. To simulate perceptual units surrounded by contours, the watershed method is utilized to cluster pixels into groups. The scale of smoothness is determined by the number of perceptual units. In the segmentation part, perceptual units are regarded as the basic element instead of discrete pixels in the graph cut. The appearance models of the foreground and background are constructed by combining the perceptual units. According to the relationship between perceptual units and the appearance model, the foreground can be segmented through a minimum-cut/maximum-flow algorithm. The experiment conducted on the CMU-Cornell iCoseg database shows that the proposed model has a promising performance. Full article
(This article belongs to the Special Issue Symmetry in Image Processing and Visualization)
►▼ Show Figures

Figure 1

16 pages, 8341 KiB  
Article
An Infrared and Visible Fusion Framework Based on a Novel Decomposition Method
by Rui Xiao, Feiyan Cheng, Junsheng Shi, Yuanfangzhou Wang and Chengli Li
Symmetry 2022, 14(4), 786; https://0-doi-org.brum.beds.ac.uk/10.3390/sym14040786 - 09 Apr 2022
Cited by 2 | Viewed by 1385
Abstract
Image fusion is one of the most rapidly evolving fields in image processing today, and its applications are widely expanded in various fields. In the field of image fusion, the method based on multi-scale decomposition plays an important role. However, it faces many [...] Read more.
Image fusion is one of the most rapidly evolving fields in image processing today, and its applications are widely expanded in various fields. In the field of image fusion, the method based on multi-scale decomposition plays an important role. However, it faces many difficult puzzles, such as the risk of over-smoothing during decomposition, blurring of fusion results, and loss of details. Aiming at these problems, this paper proposes a novel decomposition-based image fusion framework, which overcomes the problems of noise, blurring, and loss of details. Both the symmetry and asymmetry between infrared and visible images are important research hotspots in this paper. The experiments confirmed that the fusion framework outperforms other methods in both subjective observation and objective evaluation. Full article
(This article belongs to the Special Issue Symmetry in Image Processing and Visualization)
►▼ Show Figures

Figure 1

12 pages, 6689 KiB  
Article
A Design of Multi-Purpose Image-Based QR Code
by Shang-Kuan Chen and Yen-Wu Ti
Symmetry 2021, 13(12), 2446; https://0-doi-org.brum.beds.ac.uk/10.3390/sym13122446 - 18 Dec 2021
Cited by 4 | Viewed by 3904
Abstract
A multi-purpose image-based QR code is designed in this paper. There are four purposes for the generated image-based QR code. In the first purpose, the basic image-based QR code with the look of a host image is with an ingenious layout to be [...] Read more.
A multi-purpose image-based QR code is designed in this paper. There are four purposes for the generated image-based QR code. In the first purpose, the basic image-based QR code with the look of a host image is with an ingenious layout to be identified easier. In the second one, a saliency region detection method is adopted for enhancing the quality of the image-based QR code. In the third one, the host image is embedded into the image-based QR code for further access to the host image; Finally, the visual cryptography-based watermarking method is applied to the host image embedded image-based QR code. In the case that the specific users need verification from the image-based QR code, the binary verified image can be retrieved when the public share is available. The experimental results demonstrate that the generated image-based QR code not only looked better than some previous works but also had high quality host image embedded and identification ability. Full article
(This article belongs to the Special Issue Symmetry in Image Processing and Visualization)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop