• Dhivagar J
• Pavithra A

Even novice people can nowadays do convincing forged images.Detecting picture manipulation is critical to confirming the validity of digital photographs, particularly in areas like law, journalism, and security where maintaining image integrity is vital. An efficient way to identify tampering is to examine demosaicing artifacts. Using a color filter array (CFA), such as the Bayer pattern, digital cameras use demosaicing to rebuild full-color images from the partial color samples that are output by image sensors. Characteristic artifacts are left in the image by this method.This work uses these artifacts of demosaicing to locate areas of digital photographs that have been tampered with. The natural demosaicing patterns are frequently broken or changed when an image is altered. We are able to identify discrepancies suggestive of manipulation by analyzing the consistency and statistical characteristics of these artifacts.

Detecting picture,Image integrity,Demosaicing artifacts,Color Filter Array (CFA),Bayer pattern,Image sensors.

"Image Tampering detection using demosaicing artifacts", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.p710-p716, May-2024, Available :http://www.jetir.org/papers/JETIR2405G95.pdf

"Image Tampering detection using demosaicing artifacts", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppp710-p716, May-2024, Available at : http://www.jetir.org/papers/JETIR2405G95.pdf