학술논문

Reversible Data Hiding in Color Image with Grayscale Invariance using Sorting
Document Type
Conference
Source
2021 IEEE International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC) Artificial Intelligence, Robotics, and Communication (ICAIRC), 2021 IEEE International Conference on. :25-29 Jun, 2021
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Image segmentation
Conferences
Color
Gray-scale
Distortion
Complexity theory
Artificial intelligence
reversible data hiding
grayscale invariance
pixel clustering
Language
Abstract
Most reversible data hiding (RDH) algorithms for color images directly embed secret information in the luminance channel. As a result, the grayscale version of the color image is usually distorted. Since many color image processing algorithms work on the grayscale version, their performance on marked color images may get seriously impacted. Therefore, RD H with grayscale invariance (RDH-GI) is advanced to eliminate such shortcomings and has received great attention thereafter. However, their performance is still far from satisfactory. This paper presents a novel RDH-GI method by exploiting the pixel clustering technique to segment host pixels into different complexity levels. Data embedding tends to take place in less complex regions, and thus image distortion is reduced while maintaining grayscale invariance. Experiments prove the effectiveness of the proposed work.