Visible to the public Variable load image steganography using multiple edge detection and minimum error replacement method

TitleVariable load image steganography using multiple edge detection and minimum error replacement method
Publication TypeConference Paper
Year of Publication2013
AuthorsGeetha, C. R., Basavaraju, S., Puttamadappa, C.
Conference Name2013 IEEE Conference on Information Communication Technologies
Date PublishedApril 2013
ISBN Number978-1-4673-5758-6
Keywordscanny operator, composability, Conferences, cryptography, data hiding capacity, data mining, digital images, edge detection, edge pixels, embedding ratio, human eyes, human visual system, Image coding, Image edge detection, MER method, Metrics, Minimum error replacement, minimum error replacement method, multiple edge detection, PSNR, pubcrawl, resilience, Resiliency, Scalability, security, steganography, Variable embedding ratio, variable load image steganography, visual qualities

This paper proposes a steganography method using the digital images. Here, we are embedding the data which is to be secured into the digital image. Human Visual System proved that the changes in the image edges are insensitive to human eyes. Therefore we are using edge detection method in steganography to increase data hiding capacity by embedding more data in these edge pixels. So, if we can increase number of edge pixels, we can increase the amount of data that can be hidden in the image. To increase the number of edge pixels, multiple edge detection is employed. Edge detection is carried out using more sophisticated operator like canny operator. To compensate for the resulting decrease in the PSNR because of increase in the amount of data hidden, Minimum Error Replacement [MER] method is used. Therefore, the main goal of image steganography i.e. security with highest embedding capacity and good visual qualities are achieved. To extract the data we need the original image and the embedding ratio. Extraction is done by taking multiple edges detecting the original image and the data is extracted corresponding to the embedding ratio.

Citation Keygeetha_variable_2013