Minimum Rate Prediction and Optimized Histograms Modification for Reversible Data Hiding


Prediction-error enlargement (PEE)-based reversible knowledge hiding schemes consist of two steps. 1st, a sharp prediction-error (PE) histogram is generated by utilizing pixel prediction methods. Second, secret messages are reversibly embedded into the prediction-errors through expanding and shifting the PE histogram. Previous PEE methods treat the two steps independently whereas they either specialise in pixel prediction to obtain a sharp PE histogram, or aim at histogram modification to reinforce the embedding performance for a given PE histogram. This paper propose a pixel prediction methodology primarily based on the minimum rate criterion for reversible knowledge hiding, that establishes the consistency between the two steps in essence. And correspondingly, a novel optimized histograms modification theme is presented to approximate the optimal embedding performance on the generated PE sequence. Experiments demonstrate that the proposed technique outperforms the previous state-of-art counterparts considerably in terms of each the prediction accuracy and the final embedding performance.

Did you like this research project?

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

PROJECT TITLE : A New Multilevel Inverter Topology with Maximum Voltage Levels and Minimum DC Sources ABSTRACT: For consumers, renewable energy options provide both environmentally friendly and economical electricity. As
PROJECT TITLE :An Ant Colony Optimization Based Approach for Minimum Cost Coverage on 3-D Grid in Wireless Sensor Networks - 2018ABSTRACT:The application of swarm intelligence algorithms to wireless sensor networks (WSNs) deployment
PROJECT TITLE :An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Multiple Clouds - 2018ABSTRACT:The proliferation of cloud computing allows users to flexibly store, re-compute or transfer large
PROJECT TITLE :Cascaded multilevel inverter using series connection of novel capacitor-based unitswith minimum switch count - 2016ABSTRACT:This paper presents a new family of cascaded multilevel inverters (CMLIs) that will generate
PROJECT TITLE :Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree methodABSTRACT:The wind farm layout optimisation downside is similar to the classic mathematical

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

Project Enquiry