High Capacity Image Steganography with Pixel Value Modification (PVM) and Modulus Function

Problem Definition

Problem Description: The Problem is that the current existing methods in image Steganography focus on increasing embedding capacity of secret data but require two pixels for embedding one secret digit. This limitation makes it difficult to embed a large amount of data in a single image without compromising on the quality of the stego image. This results in inefficient and time-consuming processes for securely and secretly communicating information through images. Therefore, there is a need for a more efficient and effective method that can allow for higher data embedding capacity in images without compromising on the quality of the stego image. This can be achieved by implementing the proposed Pixel Value Modification (PVM) method using the modulus function in real-time image acquisition and view information hiding system.

Proposed Work

The proposed work titled "Real Time Image Acquisition and View Information Hiding System" focuses on exploring the field of steganography, particularly in image steganography, with the goal of enhancing secure and secret communication. The project introduces a novel method of Pixel Value Modification (PVM) using a modulus function to increase the embedding capacity of secret data in a cover image. This approach enables the embedding of one secret digit per pixel, leading to high-quality stego images with a higher capacity for secret data. Experimental results demonstrate the effectiveness and superiority of the proposed PVM method compared to existing algorithms in image steganography. The project utilizes modules such as Relay Driver, AC Motor Driver, Heart Rate Sensor, and Basic Matlab, with a MATLAB GUI for implementation.

This research work falls under the categories of Image Processing & Computer Vision, M.Tech | PhD Thesis Research Work, and MATLAB Based Projects, specifically focusing on Image Steganography and utilizing MATLAB Projects Software.

Application Area for Industry

This project's proposed solutions can be applied in a wide range of industrial sectors such as cybersecurity, digital forensics, defense, healthcare, and law enforcement. In the cybersecurity industry, the improved method of image steganography can be used for secure communication of sensitive information, protecting data from unauthorized access or interception. In digital forensics, this project can assist in hiding relevant information within images for investigative purposes, ensuring the integrity and confidentiality of digital evidence. In the defense sector, the high data embedding capacity in images can be utilized for covert communication in strategic operations, enhancing the security of important information. Furthermore, in the healthcare industry, this project can be used for securely transmitting medical images with patient information embedded within them, ensuring patient confidentiality and data privacy.

Lastly, in law enforcement, the enhanced image steganography method can aid in undercover operations by concealing vital information within visual content, supporting surveillance and intelligence gathering efforts. The project's solutions address challenges faced by industries in securely and effectively communicating sensitive information through images, offering benefits such as increased data embedding capacity without compromising image quality, real-time implementation, and superior performance compared to existing algorithms in image steganography.

Application Area for Academics

The proposed project, "Real Time Image Acquisition and View Information Hiding System," offers a valuable opportunity for MTech and PhD students to engage in innovative research methods and data analysis in the field of image steganography. This project addresses the current limitations in embedding capacity in image steganography by introducing a Pixel Value Modification (PVM) method using the modulus function, allowing for higher data embedding capacity without compromising the quality of the stego image. MTech and PhD students can leverage this project for their dissertation, thesis, or research papers by conducting in-depth simulations and data analysis to explore the effectiveness of the PVM method compared to existing algorithms in image steganography. The project's relevance lies in its potential applications for secure and secret communication through images, making it an ideal choice for researchers specializing in Image Processing & Computer Vision. By utilizing MATLAB Projects Software and modules such as Relay Driver and Heart Rate Sensor, students can delve into the field of Image Steganography and contribute to advancing knowledge in this domain.

The code and literature from this project can serve as a valuable resource for future researchers looking to explore cutting-edge technologies in information hiding systems. The future scope of this project includes further optimization of the PVM method and exploring its applications in real-world scenarios for enhanced data security in image communication.

Keywords

image steganography, pixel value modification, PVM method, real-time image acquisition, view information hiding system, embedding capacity, secret data, stego image quality, modulus function, cover image, secret digit, experimental results, relay driver, AC motor driver, heart rate sensor, MATLAB GUI, image processing, computer vision, M.Tech, PhD thesis research work, MATLAB based projects, cryptography, encryption, Linpack, bitwise, DCT, DWT, data embedding, secret communication, secure communication, MATLAB software