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Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns
In the last few years, the world has witnessed a ground-breaking growth in the use of digital images and their applications in the modern society. In addition, image editing applications have downplayed the modification of digital photos and this compromises the authenticity and veracity of a digita...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210216/ https://www.ncbi.nlm.nih.gov/pubmed/30304849 http://dx.doi.org/10.3390/s18103372 |
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author | Armas Vega, Esteban Alejandro Sandoval Orozco, Ana Lucila García Villalba, Luis Javier Hernandez-Castro, Julio |
author_facet | Armas Vega, Esteban Alejandro Sandoval Orozco, Ana Lucila García Villalba, Luis Javier Hernandez-Castro, Julio |
author_sort | Armas Vega, Esteban Alejandro |
collection | PubMed |
description | In the last few years, the world has witnessed a ground-breaking growth in the use of digital images and their applications in the modern society. In addition, image editing applications have downplayed the modification of digital photos and this compromises the authenticity and veracity of a digital image. These applications allow for tampering the content of the image without leaving visible traces. In addition to this, the easiness of distributing information through the Internet has caused society to accept everything it sees as true without questioning its integrity. This paper proposes a digital image authentication technique that combines the analysis of local texture patterns with the discrete wavelet transform and the discrete cosine transform to extract features from each of the blocks of an image. Subsequently, it uses a vector support machine to create a model that allows verification of the authenticity of the image. Experiments were performed with falsified images from public databases widely used in the literature that demonstrate the efficiency of the proposed method. |
format | Online Article Text |
id | pubmed-6210216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62102162018-11-02 Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns Armas Vega, Esteban Alejandro Sandoval Orozco, Ana Lucila García Villalba, Luis Javier Hernandez-Castro, Julio Sensors (Basel) Article In the last few years, the world has witnessed a ground-breaking growth in the use of digital images and their applications in the modern society. In addition, image editing applications have downplayed the modification of digital photos and this compromises the authenticity and veracity of a digital image. These applications allow for tampering the content of the image without leaving visible traces. In addition to this, the easiness of distributing information through the Internet has caused society to accept everything it sees as true without questioning its integrity. This paper proposes a digital image authentication technique that combines the analysis of local texture patterns with the discrete wavelet transform and the discrete cosine transform to extract features from each of the blocks of an image. Subsequently, it uses a vector support machine to create a model that allows verification of the authenticity of the image. Experiments were performed with falsified images from public databases widely used in the literature that demonstrate the efficiency of the proposed method. MDPI 2018-10-09 /pmc/articles/PMC6210216/ /pubmed/30304849 http://dx.doi.org/10.3390/s18103372 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Armas Vega, Esteban Alejandro Sandoval Orozco, Ana Lucila García Villalba, Luis Javier Hernandez-Castro, Julio Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns |
title | Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns |
title_full | Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns |
title_fullStr | Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns |
title_full_unstemmed | Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns |
title_short | Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns |
title_sort | digital images authentication technique based on dwt, dct and local binary patterns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210216/ https://www.ncbi.nlm.nih.gov/pubmed/30304849 http://dx.doi.org/10.3390/s18103372 |
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