Study and Analysis of Copy-Move Forgery Detection in Digital Image: A Review

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In today's digital age, Digital image forgery becomes a common information falsification trend. This is generally done due to the largely available contemporary editing software and superior digital cameras. Authenticity of images becomes a more imperative issue while transferring data from one place to another place. Trustworthiness of photograph has a significant role in many areas forensic investigation, criminal investigation, surveillance system, intelligent system, medical imaging and Journalism. Digital Image forensics finds the authenticity of the images. Different techniques are used to create forgery in the digital image. More regular type of digital image forgery is copy move forgery in which a part of an image itself is one copied and pasted into another location of the same image to conceal or alter the meaning. Post processing operations like resizing, blurring, rotation, JPEG compression etc has been done which makes digital image forgery detection difficult and hence an efficient approach is needed to detect the forgery into digital images. Copy Move forgery detection technique is grouped into two methods: Block based and Key Point based. In this paper, we have presented the various block based copy move forgery detection techniques. Image forensics is a fast growing research field and promises a convincing improvement in forgery detection.