scispace - formally typeset
Proceedings ArticleDOI

Digital signature of color images using amplitude modulation

Reads0
Chats0
TLDR
A new method based on amplitude modulation is presented that has shown to be resistant to both classical attacks, such as filtering, and geometrical attacks and can be extracted without the original image.
Abstract
Watermarking techniques, also referred to as digital signature, sign images by introducing changes that are imperceptible to the human eye but easily recoverable by a computer program. Generally, the signature is a number which identifies the owner of the image. The locations in the image where the signature is embedded are determined by a secret key. Doing so prevents possible pirates from easily removing the signature. Furthermore, it should be possible to retrieve the signature from an altered image. Possible alternations of signed images include blurring, compression and geometrical transformations such as rotation and translation. These alterations are referred to as attacks. A new method based on amplitude modulation is presented. Single signature bits are multiply embedded by modifying pixel values in the blue channel. These modifications are either additive or subtractive, depending on the value of the bit, and proportional to the luminance. This new method has shown to be resistant to both classical attacks, such as filtering, and geometrical attacks. Moreover, the signature can be extracted without the original image.

read more

Citations
More filters
Patent

Steganographic encoding and decoding

TL;DR: In this article, the authors describe a method of encoding auxiliary information in an image or video comprising of using a programmed electronic processor, computing a change in an attribute of an image and changing color values of the image and video sample to effect the change in the attribute, in which changes to color values are determined based at least in part on both visibility of the changes, and anticipated watermark detection.

Secure biometric systems

TL;DR: This dissertation addresses issues of attack robustness of fingerprint matchers, develops algorithms for increasing the security of image-based biometric templates, and develops a secure multimedia content distribution framework that includes fingerprint matching.
Posted Content

Piracy Resistant Watermarks for Deep Neural Networks

TL;DR: This work proposes null embedding, a new way to build piracy-resistant watermarks into DNNs that can only take place at a model's initial training, and empirically shows that the proposed watermarks achieve piracy resistance and other watermark properties, over a wide range of tasks and models.
Proceedings ArticleDOI

Toward generic image dewatermarking

TL;DR: An original attack based on self similarities is presented which should succeed in removing whatever watermarks have been inserted by whatever watermarking tools.
Journal ArticleDOI

Online Sequential Extreme Learning Machine for watermarking in DWT domain

TL;DR: Experimental results demonstrate that the proposed watermarking scheme is imperceptible/transparent and robust against image processing and attacks such as blurring, cropping, JPEG, noise addition, rotation, scaling, scaling-cropping, and sharpening.
References
More filters
Journal ArticleDOI

Secure spread spectrum watermarking for multimedia

TL;DR: It is argued that insertion of a watermark under this regime makes the watermark robust to signal processing operations and common geometric transformations provided that the original image is available and that it can be successfully registered against the transformed watermarked image.
Proceedings ArticleDOI

A digital watermark

TL;DR: The paper discusses the feasibility of coding an "undetectable" digital water mark on a standard 512/spl times/512 intensity image with an 8 bit gray scale, capable of carrying such information as authentication or authorisation codes, or a legend essential for image interpretation.
Proceedings ArticleDOI

Techniques for data hiding

TL;DR: This work explores both traditional and novel techniques for addressing the data hiding process and evaluates these techniques in light of three applications: copyright protecting, tamper-proofing, and augmentation data embedding.