Image Steganography based on a Parameterized Canny Edge Detection Algorithm
Youssef Bassil

TL;DR
This paper introduces a novel image steganography method that embeds data within Canny edge-detected pixels, using parameterized thresholds to enhance unpredictability and security against detection.
Contribution
It proposes a new steganography technique leveraging parameterized Canny edge detection to improve irrecoverability and concealment of hidden data.
Findings
Effective hiding of data within edge pixels of images.
Parameterization increases difficulty for steganalysis.
Simulation results demonstrate robustness of the method.
Abstract
Steganography is the science of hiding digital information in such a way that no one can suspect its existence. Unlike cryptography which may arouse suspicions, steganography is a stealthy method that enables data communication in total secrecy. Steganography has many requirements, the foremost one is irrecoverability which refers to how hard it is for someone apart from the original communicating parties to detect and recover the hidden data out of the secret communication. A good strategy to guaranteeirrecoverability is to cover the secret data not usinga trivial method based on a predictable algorithm, but using a specific random pattern based on a mathematical algorithm. This paper proposes an image steganography technique based on theCanny edge detection algorithm.It is designed to hide secret data into a digital image within the pixels that make up the boundaries of objects…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection
