Image Forensics for Forgery Detection using Contrast Enhancement and 3D Lighting

Main Article Content

Ms. Manisha Fegade, Prof. Nilima D. Nikam, Prof. Vaishali Londhe

Abstract

Nowadays the digital image plays an important role in human life. Due to large growth in the image processing techniques, with the availability of image modification tools any modification in the images can be done. These modifications cannot be recognized by human eyes. So Identification of the image integrity is very important in today’s life. Contrast and brightness of digital images can be adjusted by contrast enhancement. Move and paste type of images are Created by malicious person, in which contrast of one source image is enhanced to match the other source image. Here in this topic contrast enhancement technique is used which aimed at detecting image tampering has grown in different applications area such as law enforcement, surveillance. Also with the contrast enhancement, we propose an improved 3D lighting environment estimation method based on a more general surface reflection model. 3D lighting environment is an important clue in an image that can be used for image forgery detection. We intend to employ fully automatic face morphing and alignment algorithms. Also we intend to use face detection method to detect the face existence and 3D lighting environment estimation to check originality of human faces in the image.

Article Details

How to Cite
, M. M. F. P. N. D. N. P. V. L. “Image Forensics for Forgery Detection Using Contrast Enhancement and 3D Lighting”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 4, no. 11, Nov. 2016, pp. 257-60, doi:10.17762/ijritcc.v4i11.2641.
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Articles