Splicing Forgery Detection Technique for Digital Images: A Review

Splicing Forgery Detection Technique for Digital Images: A Review
Author(s):
Shrutika A. Korde, Smita A. Nagtode, Dinesh Bhoyar
Keywords:
Image Splicing; Stationary Wavelet Transform; Singular Value Decomposition; Multi-Scale Local Binary Pattern
Abstract
The authenticity of digital image is finding out by using Image Forgery Detection technique. For the area of digital forensics and multimedia security it is more important. Photo-editing software, powerful computers, and a device the high resolution images are used for the manipulation. So, it is very difficult for finding the transformation in the digital image by the human eyes. The proposed method to identify splicing forgery for images which are blurred, resized and angular transformed. These images need a special kind of feature extraction namely Stationary Wavelet Transform and Singular Value Decomposition in order to perform the task. For the features extraction, we will use singular value decomposition of an image. Also, the concept of color-based segmentation will be used in this work help to achieve blur invariance. We plan to improve the overall efficiency of the system with the help of multiple feature extraction techniques.
Article Details
Unique Paper ID: 148220 Publication Volume & Issue: Volume 5, Issue 12 Page(s): 750 - 753
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