&lt;title&gt;Topological-ordered color table for BPCS-steganography using indexed color images&lt;/title&gt;

Ouellette, R.; Noda, Hideki; Niimi, Michiharu; Kawaguchi, Eiji

doi:10.1117/12.385004

Cited by 9 publications

(3 citation statements)

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“…As a method of embedding the secret data in the content, a method of embedding the secret data in the real space of the content [9] and a method of embedding the secret data in the frequency space have been proposed [10], [11]. The latter has a higher ability to conceal the secret data information than the former because the secret data can be embedded in a specific frequency band that is relatively unaffected by the content quality.…”

Section: Introductionmentioning

confidence: 99%

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Data Hiding Method with Principal Component Analysis and Image Coordinate Conversion

Arai¹

2021

IJACSA

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Data hiding method with Principal Component Analysis (PCA) and image coordinate conversion as a preprocessing of wavelet Multi Resolution Analysis (MRA) is proposed. The method introduced in this paper, based on the characteristics of the original multispectral image, allows recovering the secret data.Through experiments, it is found that the proposed method is superior to the conventional data hiding method without any preprocessing. The method introduced in this paper allows only I who knows the characteristics of the original multispectral image to recover the secret data, i.e., when the information of the original image needs to be protected. Moreover, in the introduced method, the information of the secret data is protected by the existence of the eigenvector and the oblique coordinate transformation, that is, the secret data is restored if at least the information of the true original image is not known. The principal component transformation coefficient differs for each original image and is composed of the eigenvectors of the original image.

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Section: Introductionmentioning

confidence: 99%

“…A data hiding method has also been proposed when the original content is a color image [11], [12]. The secret data embedded in the original content is information such as copyright, and it has high resistance to image processing and removal attacks, and high confidentiality.…”

Section: Introductionmentioning

confidence: 99%

Data Hiding Method with Principal Component Analysis and Image Coordinate Conversion

Arai¹

2021

IJACSA

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“…Noting that the human eye cannot perceive any shape information in a very complicated binary pattern, we can replace noise-like regions in the bit planes of the dummy image with secret data without deterioration of image quality. BPCS steganography has proven to be very effective in embedding data into many classes of dummy files including eight-bit gray images [3], 24-bit true-color images [4], eight-bit indexed color images [5], and digital audio files [6]. The benefits of this technique over traditional steganography are the very large percentage (30% to 50%) of the dummy file that can be replaced with secret data and the lower occurrence of visual artifacts in the postembedding image.…”

Section: Introductionmentioning

confidence: 99%

Application of bit-plane decomposition steganography to JPEG2000 encoded images

Noda

Spaulding

Shirazi³

et al. 2002

IEEE Signal Process. Lett.

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This letter presents a steganography method based on a JPEG2000 lossy compression scheme and bit-plane complexity segmentation (BPCS) steganography. It overcomes the lack of robustness of bit-plane-based steganography methods with respect to lossy compression of a dummy image: a critical shortcoming that has hampered deployment in a practical scenario. The proposed method is based on a seamless integration of the two schemes without compromising their desirable features and makes feasible the deployment of the merits of a BPCS steganography technique in a practical scenario where images are compressed before being transmitted over the network. Embedding rates of around 15% of the compressed image size were achieved for preembedding 1.0-bpp compressed images with no noticeable degradation in image quality.

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