A Novel Data Hiding Method based on Edge Detection and 2k Correction with High Payload and High Visual Quality

Yıl 2019, Cilt: 7 Sayı: 3, 311 - 318, 30.07.2019

Türker Tuncer , Yasin Sönmez

https://doi.org/10.17694/bajece.573514

Cited By: 2

Öz

In this paper a novel
edge adaptive data hiding method is proposed. The proposed edge adaptive
steganography method is improved version of the Bai et al.’s [31] (A high
payload steganographic algorithm based on edge detection) method. The main aim
of the proposed method is to achieve high payload with high visual quality.
This method consists of pre-processing, edge detection, classification of the
secret data, data embedding and data extraction phases. In the pre-processing
phase 6 and 7 least significant bits (LSB) elimination are applied on the cover
image to get a better edge detection in the next phase. As edge detection
methods Sobel, Canny, Laplacian Of Gaussian (LOG), block based edge detection
and hybrid edge detectors are used. After the edge detection, secret data is
divided into 2 classes and then these are embedded into edge pixels and texture
pixels of the image. In order to increase the visual quality 2k correction is
applied on the stego images. Modulus operator is utilized in the data
extraction phase. In the experimental results, payload and visual quality
measurements demonstrated the success of the proposed method.

Anahtar Kelimeler

Least Significant Bit (LSB) substitution; 2k correction; Edge Detection; Data hiding

Kaynakça

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