Forensic Evaluation of Image Tempering Using Error Level Analysis (ELA) Mukherjee Anirban1, Singh Gaurav Kumar2,*, Maheswari M.3, Ramesh P Paul4, Das Anamika4 1Department of Forensic Science, Chandigarh, India 2Department of Forensic Science, Sharda School of Allied Health Sciences (SSAHS), Sharda University, Greater Noida, India 3Central Forensic Science Laboratory, Kolkata, India 4Assistant Director/Scientist-C (Physics), Central Forensic Science Laboratory, Kolkata, West Bengal, India *Corresponding Author, Mr. Gaurav Kumar Singh, Department of Forensic Science, Sharda School of Allied Health Sciences (SSAHS), Sharda University, Greater Noida, India, Email: gaurav.singh6@sharda.ac.in
Online Published on 12 January, 2024. Abstract Expansion in digital communication framework and accessibility of progressed digital processing tools in many years has brought forth fabrication endeavours. Information on digital images is rampantly adapted in all e-trade/ commerce, e-banking, social media, online-education and various other platforms. The detection technique of any tampered images is vital and could restrain the adoption of fraudulent methods. This method can be gathered into active and passive approaches for picture confirmation and altering location. Active picture confirmation has an overall arrangement for watermarking, signature and cross-breed procedures. Passive confirmation, then again, depends on the picture’s standard attributes to give understood validation. Advanced picture measurable devices have been used for recognizing the indications of computerized altering. From the writing of the past thirty years, we have found that picture believability check approaches have accomplished promising outcomes. In any case, precise picture alter restriction stays an inexplicable issue and a genuinely troublesome errand if it is performed cautiously with skill. This study highlights the types of pictures altering tools and techniques. The image tampering detection by the ELA method is carried out, which is forensically significant. Error Level Analysis (ELA) helps to determine the original picture’s uniqueness by the pressure proportion between the original picture and the phoney picture. ELA also help to get the metadata of both pictures, supporting the authenticity of the original picture. Top Keywords Image authenticity, Image cloning, Image splicing, Error Level Analysis, EXIF data. Top |