Open AccessA Novel Steganography Scheme for Color Image Based on HLS Translation
Author(s) -
Guoqiang Shao,
Jie Liu,
Dan Shen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2025/1/012058
Subject(s) - steganography , computer science , artificial intelligence , image (mathematics) , steganalysis , rgb color model , computer vision , channel (broadcasting) , grayscale , embedding , color image , cover (algebra) , feature (linguistics) , translation (biology) , distortion (music) , pattern recognition (psychology) , theoretical computer science , image processing , telecommunications , engineering , chemistry , mechanical engineering , amplifier , linguistics , philosophy , biochemistry , bandwidth (computing) , messenger rna , gene
In recent years, steganography has attracted extensive attention, but most of steganography schemes are aimed at grayscale images. Therefore, a novel steganography scheme for color image based on HLS translation is proposed in this paper. Firstly, the color cover image is decomposed from RGB three channels to HLS three channels. Then the image of H channel is selected as the cover image for embedding secret information due to its texture feature of original image. The universal distortion function UNIWARD is utilized to embed the secret information into the image of H channel. Finally, the steg image transmitted in common channel is obtained by inverse HLS transform using the single channel image embedding the secret information. The extensive experimental results indicate that our scheme has high security and can also resist the detection of steganalysis schemes based on CNN.