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An Enhanced Mechanism for Image Steganography Using Sequential Colour Cycle Algorithm

2010
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Lip Yee Por, Delina Beh, Tan Fong Ang, Sim Ying Ong, IAJIT
Dibuat : 2012-06-23, dengan 1 file

Keyword : Image steganography, steganography, least significant bit, data hiding, information hiding.
Subjek : An Enhanced Mechanism for Image Steganography Using Sequential Colour Cycle Algorithm
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.1/3197-5.pdf
Sumber pengambilan dokumen : Internet

Several problems arise among the existing LSB-based image steganographic schemes due to distortion in a stego-


image and limited payload capacity. Thus, a proposed scheme has been developed with the aims to help in improving the


payload of the secret data at the same time retaining the quality of the stego-image produced within an acceptance threshold.


This study has led to the modification of the current LSB substitution Algorithm by delivering a new Algorithm namely


sequential colour cycle. For achieving a higher security, multi-layered steganography can be performed by embedding a


secret data into multiple layers of cover-images. The performance evaluation has been tested and proven that the improvement


of embedding ratio at 1:2 for the proposed Algorithm can be achieved and the value of the image quality is not falling below


the threshold of distortion.

Deskripsi Alternatif :

Several problems arise among the existing LSB-based image steganographic schemes due to distortion in a stego-


image and limited payload capacity. Thus, a proposed scheme has been developed with the aims to help in improving the


payload of the secret data at the same time retaining the quality of the stego-image produced within an acceptance threshold.


This study has led to the modification of the current LSB substitution Algorithm by delivering a new Algorithm namely


sequential colour cycle. For achieving a higher security, multi-layered steganography can be performed by embedding a


secret data into multiple layers of cover-images. The performance evaluation has been tested and proven that the improvement


of embedding ratio at 1:2 for the proposed Algorithm can be achieved and the value of the image quality is not falling below


the threshold of distortion.

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