Blind decoding of image steganography using entropy model. Issue 10 (1st May 2018)

• Record Type: Journal Article
• Authors: Kim, C.R.; Lee, S.H.; Lee, J.H.; Park, J.‐I.
• Is Part Of: Electronics letters. Volume 54:Issue 10(2018)
• Page Start: 626
• Page End: 628
• Publication Date: 2018-05-01
• Subjects: decoding -- image coding -- steganography -- entropy -- image retrieval; LSB‐based steganography methods -- hidden image information extraction -- abnormal image structures -- decoded images -- local entropy distributions -- cover images -- entropy model -- image steganography -- blind decoding; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.4276
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Image steganography hides secret information in the cover images so naturally that the existence of hidden data in the stego‐image is not recognisable. This Letter proposes a new approach to blind decoding of image steganography using the local entropy distributions of decoded images. The local entropy distributions of incorrectly decoded images are different from those of normal ones because of the abnormal image structures in the erroneously decoded images. This blind decoding in the image steganography is very useful to extract hidden image information because there are enormous least significant bit (LSB)‐based steganography methods, and it is very hard to find the methods by observing manipulated LSBs.