Seamless Copy–Move Replication in Digital Images
The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries. The core category in passive image forgery is copy–move image forgery that affects the originality of image by applying a different transformation...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
|
| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/8/3/69 |
| _version_ | 1797470366993481728 |
|---|---|
| author | Tanzeela Qazi Mushtaq Ali Khizar Hayat Baptiste Magnier |
| author_facet | Tanzeela Qazi Mushtaq Ali Khizar Hayat Baptiste Magnier |
| author_sort | Tanzeela Qazi |
| collection | DOAJ |
| description | The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries. The core category in passive image forgery is copy–move image forgery that affects the originality of image by applying a different transformation. In this paper, a frequency-domain image-manipulation method is presented. The method exploits the localized nature of discrete wavelet transform (DWT) to attain the region of the host image to be manipulated. Both patch and host image are subjected to DWT at the same level <i>l</i> to obtain <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mi>l</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula> sub-bands, and each sub-band of the patch is pasted to the identified region in the corresponding sub-band of the host image. Resulting manipulated host sub-bands are then subjected to inverse DWT to obtain the final manipulated host image. The proposed method shows good resistance against detection by two frequency-domain forgery detection methods from the literature. The purpose of this research work is to create a forgery and highlight the need to produce forgery detection methods that are robust against malicious copy–move forgery. |
| first_indexed | 2024-03-09T19:35:33Z |
| format | Article |
| id | doaj.art-5dac6aee34454201bd905340b0c0fca0 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-09T19:35:33Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-5dac6aee34454201bd905340b0c0fca02023-11-24T01:55:04ZengMDPI AGJournal of Imaging2313-433X2022-03-01836910.3390/jimaging8030069Seamless Copy–Move Replication in Digital ImagesTanzeela Qazi0Mushtaq Ali1Khizar Hayat2Baptiste Magnier3Department of Information Technology, Hazara University Mansehra, Mansehra 21120, PakistanDepartment of Information Technology, Hazara University Mansehra, Mansehra 21120, PakistanDepartment of Mathematical and Physical Sciences (DMPS), College of Arts and Sciences (CAS), University of Nizwa, Nizwa 616, OmanEuroMov Digital Health in Motion, Univ Montpllier, IMT Mines Ales, 30100 Ales, FranceThe importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries. The core category in passive image forgery is copy–move image forgery that affects the originality of image by applying a different transformation. In this paper, a frequency-domain image-manipulation method is presented. The method exploits the localized nature of discrete wavelet transform (DWT) to attain the region of the host image to be manipulated. Both patch and host image are subjected to DWT at the same level <i>l</i> to obtain <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mi>l</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula> sub-bands, and each sub-band of the patch is pasted to the identified region in the corresponding sub-band of the host image. Resulting manipulated host sub-bands are then subjected to inverse DWT to obtain the final manipulated host image. The proposed method shows good resistance against detection by two frequency-domain forgery detection methods from the literature. The purpose of this research work is to create a forgery and highlight the need to produce forgery detection methods that are robust against malicious copy–move forgery.https://www.mdpi.com/2313-433X/8/3/69discrete wavelet transform (DWT)copy–move replicationimage manipulationimage tamperingimage forgeryfrequency domain |
| spellingShingle | Tanzeela Qazi Mushtaq Ali Khizar Hayat Baptiste Magnier Seamless Copy–Move Replication in Digital Images Journal of Imaging discrete wavelet transform (DWT) copy–move replication image manipulation image tampering image forgery frequency domain |
| title | Seamless Copy–Move Replication in Digital Images |
| title_full | Seamless Copy–Move Replication in Digital Images |
| title_fullStr | Seamless Copy–Move Replication in Digital Images |
| title_full_unstemmed | Seamless Copy–Move Replication in Digital Images |
| title_short | Seamless Copy–Move Replication in Digital Images |
| title_sort | seamless copy move replication in digital images |
| topic | discrete wavelet transform (DWT) copy–move replication image manipulation image tampering image forgery frequency domain |
| url | https://www.mdpi.com/2313-433X/8/3/69 |
| work_keys_str_mv | AT tanzeelaqazi seamlesscopymovereplicationindigitalimages AT mushtaqali seamlesscopymovereplicationindigitalimages AT khizarhayat seamlesscopymovereplicationindigitalimages AT baptistemagnier seamlesscopymovereplicationindigitalimages |