Digital Image Tampering Detection Based on Illumination Inconsistency: A Review

In today’s digital age, powerful and low cost digital technology has made it possible to create effective photographic forgeries. Therefore it becomes very challenging for end users to distinguish whether the image is novel or tempered. In the fields such as forensics, medical imaging, e-commerce, authenticity and integrity of digital images is crucial. The usage of digital images in such fields generates the need for detection tools that can reveal whether the image is real or fake. Whenever tampering is done, it affects or changes the basic characteristics of images such as blurriness,sharpness,noise, luminance intensity etc.There are various methods which detects divergence in different characteristics.Now days, there exist different techniques that detect tampering in digital images based on illuminant color inconsistencies. The goal of this paper is to provide a review of the existing literature available on illumination based digital image tampering detection techniques.