My Account | Careers | Downloads | Blog

PROJECT TITLE :

Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images - 2012

ABSTRACT:

This paper deals with the detection of hidden bits in the Least Significant Bit (LSB) plane of a natural image. The mean level and the covariance matrix of the image, considered as a quantized Gaussian random matrix, are unknown. An adaptive statistical test is designed such that its probability distribution is always independent of the unknown image parameters, while ensuring a high probability of hidden bits detection. This test is based on the likelihood ratio test except that the unknown parameters are replaced by estimates based on a local linear regression model. It is shown that this test maximizes the probability of detection as the image size becomes arbitrarily large and the quantization step vanishes. This provides an asymptotic upper-bound for the detection of hidden bits based on the LSB replacement mechanism. Numerical results on real natural images show the relevance of the method and the sharpness of the asymptotic expression for the probability of detection.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Partial Computation Offloading and Adaptive Task Scheduling for 5G-enabled Vehicular Networks ABSTRACT: In order to pique the interest of prospective users in the emerging 5G-enabled vehicular networks, a wide
PROJECT TITLE : Deep Visual Odometry with Adaptive Memory ABSTRACT: A novel deep visual odometry (VO) method that takes into account global information by selecting memory and refining poses is presented here. The currently available
PROJECT TITLE : Data Dissemination in VANETs Using Clustering and Probabilistic Forwarding Based on Adaptive Jumping Multi-Objective Firefly Optimization ABSTRACT: The dissemination of data within a VANETs network calls for
PROJECT TITLE : Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation ABSTRACT: There have been a number of very successful studies that have focused on integrating ratings and reviews
PROJECT TITLE : Context-aware and Adaptive QoS Prediction for Mobile Edge Computing Services ABSTRACT: Mobile edge computing (MEC) has recently gained a significant amount of momentum due to the fact that it permits the utilization

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry