Image Authentication Through Forensic and Watermarking Based Technologies

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (31 January 2018)

Special Issue Editors


E-Mail Website
Guest Editor
National Inter-University Consortium for Telecommunications (CNIT), Research Unit at MICC, Viale Morgagni 65, 50134 Firenze, Italy
Interests: image forensics; digital watermarking; image processing

E-Mail Website
Guest Editor
Media Integration and Communication Center (MICC), University of Florence, Florence, Italy
Interests: secure media; image forensics; social media analysis

Special Issue Information

Dear Colleagues,

There exists the chance that the images and videos that we look at daily may not be authentic, and may have been manipulated to wrongly influence our way of thinking. Over the last quarter century, the scientific field of secure media has researched technologies in the hopes of providing efficient and adequate instruments to assess media integrity. Particularly, digital watermarking and image forensic techniques, although starting from different practical assumptions, have strongly dealt with such challenging and still open topic. This Special Issue calls for the methods, solutions and approaches that are oriented at analysing image and video authenticity according to specific application scenarios. High-quality original research papers are solicited as well as review papers that mainly address these issues and advance the development in image watermarking and forensics.

Dr. Roberto Caldelli
Dr. Irene Amerini
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. Journal of Imaging 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 1800 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

  • Image watermarking-based authentication
  • Image forensic-based authentication
  • Active vs. passive approaches
  • Methods and application scenarios
  • Joint watermarking-forensic procedures

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

11 pages, 3971 KiB  
Article
Hot Shoes in the Room: Authentication of Thermal Imaging for Quantitative Forensic Analysis
by Justin H. J. Chua, Adrian G. Dyer and Jair E. Garcia
J. Imaging 2018, 4(1), 21; https://doi.org/10.3390/jimaging4010021 - 12 Jan 2018
Cited by 2 | Viewed by 5664
Abstract
Thermal imaging has been a mainstay of military applications and diagnostic engineering. However, there is currently no formalised procedure for the use of thermal imaging capable of standing up to judicial scrutiny. Using a scientifically sound characterisation method, we describe the cooling function [...] Read more.
Thermal imaging has been a mainstay of military applications and diagnostic engineering. However, there is currently no formalised procedure for the use of thermal imaging capable of standing up to judicial scrutiny. Using a scientifically sound characterisation method, we describe the cooling function of three common shoe types at an ambient room temperature of 22 °C (295 K) based on the digital output of a consumer-grade FLIR i50 thermal imager. Our method allows the reliable estimation of cooling time from pixel intensity values within a time interval of 3 to 25 min after shoes have been removed. We found a significant linear relationship between pixel intensity level and temperature. The calibration method allows the replicable determination of independent thermal cooling profiles for objects without the need for emissivity values associated with non-ideal black-body thermal radiation or system noise functions. The method has potential applications for law enforcement and forensic research, such as cross-validating statements about time spent by a person in a room. The use of thermal images can thus provide forensic scientists, law enforcement officials, and legislative bodies with an efficient and cost-effective tool for obtaining and interpreting time-based evidence. Full article
Show Figures

Figure 1

2535 KiB  
Article
Alpha Channel Fragile Watermarking for Color Image Integrity Protection
by Barbara Bonafè, Marco Botta, Davide Cavagnino and Victor Pomponiu
J. Imaging 2017, 3(4), 53; https://doi.org/10.3390/jimaging3040053 - 23 Nov 2017
Viewed by 4193
Abstract
This paper presents a fragile watermarking algorithm`m for the protection of the integrity of color images with alpha channel. The system is able to identify modified areas with very high probability, even with small color or transparency changes. The main characteristic of the [...] Read more.
This paper presents a fragile watermarking algorithm`m for the protection of the integrity of color images with alpha channel. The system is able to identify modified areas with very high probability, even with small color or transparency changes. The main characteristic of the algorithm is the embedding of the watermark by modifying the alpha channel, leaving the color channels untouched and introducing a very small error with respect to the host image. As a consequence, the resulting watermarked images have a very high peak signal-to-noise ratio. The security of the algorithm is based on a secret key defining the embedding space in which the watermark is inserted by means of the Karhunen–Loève transform (KLT) and a genetic algorithm (GA). Its high sensitivity to modifications is shown, proving the security of the whole system. Full article
Show Figures

Figure 1

Back to TopTop