Example of Journal of Electronic Imaging format
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Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format
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Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format Example of Journal of Electronic Imaging format
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open access Open Access

Journal of Electronic Imaging — Template for authors

Publisher: SPIE
Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #359 of 693 down down by 5 ranks
Computer Science Applications #362 of 693 down down by 16 ranks
Atomic and Molecular Physics, and Optics #119 of 192 down down by 3 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 874 Published Papers | 2062 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 06/07/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

0.884

4% from 2018

Impact factor for Journal of Electronic Imaging from 2016 - 2019
Year Value
2019 0.884
2018 0.924
2017 0.78
2016 0.754
graph view Graph view
table view Table view

2.4

20% from 2019

CiteRatio for Journal of Electronic Imaging from 2016 - 2020
Year Value
2020 2.4
2019 2.0
2018 1.7
2017 1.5
2016 1.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 4% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 20% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.238

10% from 2019

SJR for Journal of Electronic Imaging from 2016 - 2020
Year Value
2020 0.238
2019 0.264
2018 0.241
2017 0.238
2016 0.269
graph view Graph view
table view Table view

0.51

10% from 2019

SNIP for Journal of Electronic Imaging from 2016 - 2020
Year Value
2020 0.51
2019 0.566
2018 0.659
2017 0.588
2016 0.599
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 10% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 10% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Electronic Imaging

Guideline source: View

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SPIE

Journal of Electronic Imaging

Contributed papers cover the following research areas that apply directly to electronic imaging or focus on applied electronic imaging technology: Image acquisition; Hard copy output; Image data storage; Image visualization; Image data communication; Image processing; Display ...... Read More

Engineering

i
Last updated on
06 Jul 2020
i
ISSN
1017-9909
i
Impact Factor
High - 1.458
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
spiebib
i
Citation Type
Numbered (Superscripted)
25
i
Bibliography Example
G. E. Blonder, M. Tinkham, and T. M. Klapwijk, “Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion,” Phys. Rev. B 25(7), 4515–4532 (1982).

Top papers written in this journal

Journal Article DOI: 10.1117/1.1631315
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin1, Bulent Sankur

Abstract:

We conduct an exhaustive survey of image thresholding methods, categorize them, express their formulas under a uniform notation, and finally carry their performance comparison. The thresholding methods are categorized according to the information they are exploiting, such as histogram shape, measurement space clustering, entr... We conduct an exhaustive survey of image thresholding methods, categorize them, express their formulas under a uniform notation, and finally carry their performance comparison. The thresholding methods are categorized according to the information they are exploiting, such as histogram shape, measurement space clustering, entropy, object attributes, spatial correlation, and local gray-level surface. 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images. The comparison is based on the combined performance measures. We identify the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications. © 2004 SPIE and IS&T. (DOI: 10.1117/1.1631316) read more read less

Topics:

Balanced histogram thresholding (71%)71% related to the paper, Thresholding (70%)70% related to the paper, Image segmentation (57%)57% related to the paper, Otsu's method (56%)56% related to the paper, Image processing (53%)53% related to the paper
View PDF
4,543 Citations
Journal Article DOI: 10.1117/1.3267105
Most apparent distortion: full-reference image quality assessment and the role of strategy
Eric C. Larson1, Damon M. Chandler2

Abstract:

The mainstream approach to image quality assessment has centered around accurately modeling the single most relevant strategy employed by the human visual system (HVS) when judging image quality (e.g., detecting visible differences, and extracting image structure/information). In this work, we suggest that a single strategy m... The mainstream approach to image quality assessment has centered around accurately modeling the single most relevant strategy employed by the human visual system (HVS) when judging image quality (e.g., detecting visible differences, and extracting image structure/information). In this work, we suggest that a single strategy may not be sufficient; rather, we advocate that the HVS uses multiple strategies to determine image quality. For images containing near-threshold distortions, the image is most apparent, and thus the HVS attempts to look past the image and look for the distortions (a detection-based strategy). For images containing clearly visible distortions, the distortions are most apparent, and thus the HVS attempts to look past the distortion and look for the image's subject matter (an appearance-based strategy). Here, we present a quality assessment method [most apparent distortion (MAD)], which attempts to explicitly model these two separate strategies. Local luminance and contrast masking are used to estimate detection-based perceived distortion in high-quality images, whereas changes in the local statistics of spatial-frequency components are used to estimate appearance-based perceived distortion in low-quality images. We show that a combination of these two measures can perform well in predicting subjective ratings of image quality. read more read less

Topics:

Image quality (62%)62% related to the paper, Image processing (57%)57% related to the paper, Distortion (55%)55% related to the paper, Human visual system model (53%)53% related to the paper, Image compression (51%)51% related to the paper
View PDF
1,651 Citations
Journal Article DOI: 10.1117/1.1631921
Review of 20 years of range sensor development
Francois Blais1

Abstract:

We review 20 years of development in the field of 3-D laser imaging. An overview of 3-D digitizing techniques is presented with an emphasis on commercial techniques and systems currently available. It covers some of the most important methods that have been developed, both at the National Research Council of Canada (NRC) and ... We review 20 years of development in the field of 3-D laser imaging. An overview of 3-D digitizing techniques is presented with an emphasis on commercial techniques and systems currently available. It covers some of the most important methods that have been developed, both at the National Research Council of Canada (NRC) and elsewhere, with a focus on commercial systems that are considered good representations of the key technologies that have survived the test of years. © 2004 SPIE and IS&T. read more read less
1,041 Citations
Journal Article DOI: 10.1117/1.2348895
Image Processing - Principles and Applications
Tinku Acharya1, Ajoy Kumar Ray

Abstract:

This PDF file contains the editorial “Image Processing: Principles and Applications” for JEI Vol. 15 Issue 03

Topics:

Digital image processing (70%)70% related to the paper, Image processing (69%)69% related to the paper
827 Citations
open accessOpen access Journal Article DOI: 10.1117/1.1455011
Statistical evaluation of image quality measures
Ismail Avcibas1, Bulent Sankur2, Khalid Sayood3

Abstract:

In this work we comprehensively categorize image qual- ity measures, extend measures defined for gray scale images to their multispectral case, and propose novel image quality measures. They are categorized into pixel difference-based, correlation-based, edge-based, spectral-based, context-based and human visual sys- tem (HVS... In this work we comprehensively categorize image qual- ity measures, extend measures defined for gray scale images to their multispectral case, and propose novel image quality measures. They are categorized into pixel difference-based, correlation-based, edge-based, spectral-based, context-based and human visual sys- tem (HVS)-based measures. Furthermore we compare these mea- sures statistically for still image compression applications. The sta- tistical behavior of the measures and their sensitivity to coding artifacts are investigated via analysis of variance techniques. Their similarities or differences are illustrated by plotting their Kohonen maps. Measures that give consistent scores across an image class and that are sensitive to coding artifacts are pointed out. It was found that measures based on the phase spectrum, the multireso- lution distance or the HVS filtered mean square error are computa- tionally simple and are more responsive to coding artifacts. We also demonstrate the utility of combining selected quality metrics in build- ing a steganalysis tool. © 2002 SPIE and IS&T. read more read less

Topics:

Image quality (58%)58% related to the paper, Image compression (53%)53% related to the paper, Grayscale (52%)52% related to the paper
View PDF
661 Citations
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Journal of Electronic Imaging format uses spiebib citation style.

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Frequently asked questions

1. Can I write Journal of Electronic Imaging in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Electronic Imaging guidelines and auto format it.

2. Do you follow the Journal of Electronic Imaging guidelines?

Yes, the template is compliant with the Journal of Electronic Imaging guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Electronic Imaging?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Journal of Electronic Imaging citation style.

4. Can I use the Journal of Electronic Imaging templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Electronic Imaging.

5. Can I use a manuscript in Journal of Electronic Imaging that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Electronic Imaging that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Electronic Imaging?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Journal of Electronic Imaging.

7. Where can I find the template for the Journal of Electronic Imaging?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Electronic Imaging's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Journal of Electronic Imaging's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Journal of Electronic Imaging an online tool or is there a desktop version?

SciSpace's Journal of Electronic Imaging is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Journal of Electronic Imaging?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Journal of Electronic Imaging?”

11. What is the output that I would get after using Journal of Electronic Imaging?

After writing your paper autoformatting in Journal of Electronic Imaging, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Electronic Imaging's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Electronic Imaging?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Journal of Electronic Imaging. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Journal of Electronic Imaging?

The 5 most common citation types in order of usage for Journal of Electronic Imaging are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Journal of Electronic Imaging?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Electronic Imaging's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Electronic Imaging in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Electronic Imaging Endnote style according to Elsevier guidelines.

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