Robust Lossless Semi Fragile Information Protection in Images
Prakash Gupta, Jay
Tipo de Ítem:article
Internet security finds it difficult to keep the information secure and to maintain the integrity of the data. Sending messages over the internet secretly is one of the major tasks as it is widely used for passing the message. In order to achieve security there must be some mechanism to protect the data against unauthorized access. A lossless data hiding scheme is proposed in this paper which has a higher embedding capacity than other schemes. Unlike other schemes that are used for embedding fixed amount of data, the proposed data hiding method is block based approach and it uses a variable data embedding in different blocks which reduces the chances of distortion and increases the hiding capacity of the image. When the data is recovered the original image can be restored without any distortion. Our experimental results indicate that the proposed solution can significantly support the data hiding problem. We achieved good Peak signal-to-noise ratio (PSNR) while hiding large amount of data into smoother regions.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Mostrando ítems relacionados por Título, autor o materia.
Kumar Singh, Deepak; Srinivas, K.; Bhagwan Das, D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)The prime objective of a Channel Assignment Problem (CAP) is to assign appropriate number of required channels to each cell in a way to achieve both efficient frequency spectrum utilization and minimization of interference ...
Dubey, Shiv Ram; Dixit, Pushkar; Singh, Nishant; Gupta, Jay Prakash (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This ...
Bhaskar, Vinay S; Kumar Singh, Abhishek; Dhruw, Jyoti; Parashar, Anubha; Sharma, Mradula (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2014)The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the ...