• Ms.M. Mohanasundari
• Mythili R
• Sethupathi V
• Sugumar S

A process framework called content-based image retrieval uses computer vision techniques to more effectively search through and manage huge image databases. To support effective browsing, searching, and retrieval for image collections, there is an increasing demand for devices and computer systems. This is because large digital image collections are growing because of the rapid advancements in electronic storage capacity and computing power. The security of digital information has evolved into a fundamental concern with continual advances in sight and hearing.The main focus on the efforts on altering current conventions to overcome the shortcomings of momentum security conventions. However, over the past couple of years, a few proposed encryption calculations have been shown to be unreliable, posing serious risks to important data.Using the most appropriate encryption calculation is a crucial step in providing security from such attacks, but the type of information being obtained will also determine which calculation is most appropriate in each situation.To meet the goal of protecting image content, we suggest an RDH with triple DES matrix-based transformation technique. More significantly, image retrieval and image convolution can be carried out directly on the content-protected images using the proposed framework for image content protection.

EFFICIENT BIT APPROXIMATION DATA EMBEDDING USING REVERSIBLE DATA HIDING APPROACH

"EFFICIENT BIT APPROXIMATION DATA EMBEDDING USING REVERSIBLE DATA HIDING APPROACH ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.65-70, June-2023, Available :http://www.jetir.org/papers/JETIRFZ06011.pdf

"EFFICIENT BIT APPROXIMATION DATA EMBEDDING USING REVERSIBLE DATA HIDING APPROACH ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. pp65-70, June-2023, Available at : http://www.jetir.org/papers/JETIRFZ06011.pdf