• Sanjay Gupta

Digital images are used in the present day for a variety of tasks and in a wide range of applications. They are crucial for the storing and transmission of visual information, particularly confidential visual information. It has become simple to alter and change the real content of the image as a result of the widespread use of digital photos, as well as the expansion of tools and software for editing them. This detecting method makes advantage of the image's texture property. The wavelet transform function is the most promising texture analysis feature and is utilised for image texture extraction. Clustering is a method used for feature creation and pattern selection. The process of clustering is an iterative unsupervised learning approach. Several genuine and fake photos are used to assess the proposed approaches. Our experimental findings show that the suggested strategies are extremely appealing. With copy-move alone, copy-move with rotation, scaling, and reflection, the forgery is accomplished. An image database made up of authentic and fake photos is also created throughout this procedure. The suggested approach achieves 100% accuracy in copy-move forgery alone (without any modification to the object's size or other attributes) forgery without post-processing and 98.43%, 86.58%, and 95.12% accuracy in copy-move forgery with rotation, scaling, and reflection, respectively.

Image Forgery, Transform methods, Clustering Algorithm, DWT, MATLAB

"Robust Image Forgery Detection Method Based on Transform Method and Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.21-26, March-2016, Available :http://www.jetir.org/papers/JETIR1701845.pdf

"Robust Image Forgery Detection Method Based on Transform Method and Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp21-26, March-2016, Available at : http://www.jetir.org/papers/JETIR1701845.pdf