Copy Move Cloning Image Forgery Detection using Wavelets and Projection Profiling

Abstract

Digital images play an extensive role in our daily life as we are living in the digital and technical era. The images can be a personal or oand#64259;cial and can also used as various important purposes such as evidence in court of law, a news item, and#64257;nancial record etc. Forge images are being used as original image to disguise and can b e presented as false evidence. Furthermore, image processing softwares, editing tools and internet makes this process quite easy. Anyone can doctor the digital images without leaving visual clues. The activity of doctoring images is decreasing the trust-worthiness of digital images. Therefore, there is essential and eand#64256;ective algorithm which can detect image forgery automatically for authenticity or genuineness of the digital images. newlineThe copy-move (cloning) is a very popular type of forgery which is used to create a digital image doctoring. In this approach, a speciand#64257;c block of image or object is copied and then pasted it to the other portion of the same image to accomplish information hiding. Additionally, the copied area move from the same image, its signiand#64257;cant properties namely noise, texture and color palette will b e well matched with the remaining part of the image. It will lead to a great remonstrance in identifying and locating the forgery regions. Although various approaches have been proposed by number of researchers to detect copy-move image forgery (CMFD), still there are some research gaps such as false detection, high execution time and p o or accuracy due to various forgery attacks. We have addressed all these issues in proposed algorithms, and new newlineimprovements have been suggested to enhance the accuracy as well as reduce the execution time. This thesis has been divided into six chapters. Chapter 1 introduces the concept of image forgery, classiand#64257;cation of forgery, important characteristics and various applications of image forgery. This is followed by a literature review of copy- move image forgery detection techniques along with their merits and demerits.