Forensic Image Analysis Processing Human Visual System
Author(s):
Swapnil Dharme, Pooja Thakre
Keywords:
JPEG, Illumination, detection, forgery,HVS
Abstract
Digital Photo images are everywhere, on the covers of magazines, in newspapers, in courtrooms, and all over the Internet. We are exposed to them throughout the day and most of the time. Ease with which images can be manipulated; we need to be aware that seeing does not always imply believing. We propose methodologies to identify such unbelievable photo images and succeeded to identify forged region by given only the forged image. Formats are additive tag for every file system and contents are relatively expressed with extension based on most popular digital camera uses JPEG and Other image formats like png, bmp etc. We have designed algorithm running behind with the concept of abnormal anomalies and identify the forgery regions. Today, Powerful digital image editing software makes image modifications straightforward. This undermines our trust in photographs. In this paper, one of the most common forms of photographic manipulation, known as image composition or splicing is analyzed. A forgery detection method that exploits subtle inconsistencies in the color of the illumination of images. The proposed approach is machine-learning based and requires minimal user interaction. The technique is applicable to images containing two or more people and requires no expert interaction for the tampering decision. Here, the existing work can be extended by using advanced face detection method using skin tone information and edges. A lighting insensitive face detection method based upon the edge and skin tone information of the input color image is proposed. From these illuminant estimates, we extract texture- and edge-based features which are then provided to a machine-learning approach for automatic decision-making.
Article Details
Unique Paper ID: 146763

Publication Volume & Issue: Volume 5, Issue 1

Page(s): 811 - 814
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