Abstract

Digital images are a very popular way of transfer-ring media. However, their integrity remains challenging because these images can easily be manipulated with the help of software tools and such manipulations cannot be verified through a naked-eye. Although there exist some techniques to validate digital images, but in practice, it is not a trivial task as the existing approaches to forgery detection are not very effective. Therefore, there is need for a simple and efficient solution for the challenge. On the other hand, digital image steganography is the concealing of a message within an image file. The secret message can be retrieved afterwards by the author to check the image file for its veracity. This research paper proposes Sabiomha, an image forgery technique that make use of image steganography. The proposed technique is also supported by a software tool to demonstrate its usefulness. Sabiomha works by inserting an invisible watermark to certain alpha bits of the image file. The watermark we have used to steganograph an image is composed of a combination of text inputs the author can use to sign the image. Any attempts to tamper the image would distort the sequence of the bits of the image pixel. Hence, the proposed technique can easily validate originality of a digital image by exposing any tampering. The usability of our contribution is demonstrated by using the software tool we developed to automate the proposed technique. The experiment which we performed to further validate our technique suggested that Sabimoha could be flawlessly applied to image files.

Highlights

  • We have introduced a new dimension to the digital image steganography by proposing a light weight technique

  • The forgery issue is addressed in a novel way; ELA, Joint Photographic Expert Group (JPEG), and metadata are incorporated, and an invisible watermark is inserted to enhance efficiency and effectiveness of forgery detection

  • The proposed technique is automated through a software tool which facilitates users to steganograph digital images

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Summary

Background

Applications of digital images have been the focal point of computer vision researchers for decades [1]–[4]. A large portion of the content comprises of digital images These days users can capture their memorable moments through digital cameras and can share with others by publishing the image files on the web. Since digital data is accessible these days, obnoxious users can manipulate image files for entertainment and at times abuse those for some societal or political gains or to dictate any legal affairs. This phenomenon is reinforced by the availability of some supporting software applications. The challenge leads to issues such as image authentication, protection, and forgery detection This demands aggressive counter approaches from scientists and researchers to confront and challenge malpractices

Problem Description
Contribution of the Research Project
Current State of the Art
RELATED WORK
SAB-IOMHA:THE PROPOSED TECHNIQUE
16: StegPixel
AUTOMATION OF SAB - IOMHA
13: Original Image
CONCLUSION
Full Text
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