DWT Image Watermarking Algorithm for Realtime Encryption & Decryption

Problem Definition

Problem Description: One of the major challenges faced in the field of digital image encryption is the need for a robust and secure method to embed information (watermark) into an image without affecting its visual quality. Traditional methods often fail to provide a balance between robustness and imperceptibility. This leads to issues such as low resistance to various attacks and noticeable distortion in the watermarked image. To address this problem, a DWT based invisible image encryption & decryption algorithm can be designed. By leveraging the properties of wavelets and modifying existing methods to fit the wavelet domain, a more secure and imperceptible watermarking technique can be developed.

This algorithm would embed the watermark information in both low and high frequencies of the image, making it resistant to attacks while ensuring it remains visually appealing to the human eye. The goal is to create a method that can efficiently and effectively embed digital watermarks in images in real-time, using an intelligent system like a neural network to optimize the strength of the embedded watermark.

Proposed Work

The proposed work for our project titled "DWT based Invisible Image Encryption & Decryption Algorithm Design" explores the use of discrete wavelet transform (DWT) in image watermarking, which is considered one of the best techniques for watermarking due to the properties of wavelets. Our method involves inserting relationships between property values of certain coefficients of a transformed host image to encode watermark information. We have modified the STD Method to suit a perceptual model simplified for the wavelet domain. Our digital watermarking methods embed a watermark in both low and high frequencies of an image, making it resistant to various attacks while remaining imperceptible to the human eye. The optimization of the embedded digital watermark is done quickly, in real-time, and in an automated manner using intelligent systems like neural networks.

For implementation, we use modules such as Relay Driver using ULN-20, Relay Based AC Motor Driver, Heart Rate Sensor, and basic MATLAB along with MATLAB GUI. This work falls under the categories of Image Processing & Computer Vision, M.Tech | PhD Thesis Research Work, and MATLAB Based Projects, specifically focusing on Image Watermarking and MATLAB Projects Software.

Application Area for Industry

The DWT based Invisible Image Encryption & Decryption Algorithm can be implemented in various industrial sectors such as digital media, cybersecurity, and forensic analysis. In the digital media industry, this project can be used for protecting the copyrights of images and videos, ensuring that the content remains secure and intact even when shared online. In cybersecurity, this algorithm can enhance the security of sensitive information embedded in images, preventing unauthorized access and tampering. Furthermore, in forensic analysis, this project can aid in verifying the authenticity of digital images, ensuring that evidence is not tampered with in criminal investigations. The proposed solution addresses the specific challenge faced by industries in digital image encryption by providing a robust and imperceptible watermarking technique.

By embedding watermark information in both low and high frequencies of images, the algorithm ensures resistance to attacks while maintaining visual quality. The use of DWT and neural networks optimizes the strength of the watermark efficiently and in real-time, enhancing the overall security of the digital content. Implementing these solutions can bring benefits such as improved copyright protection, enhanced data security, and reliable evidence verification, making it a valuable tool for industries seeking to safeguard their digital assets and information.

Application Area for Academics

The proposed project on "DWT based Invisible Image Encryption & Decryption Algorithm Design" holds significant potential for research by MTech and PhD students in the fields of image processing and computer vision. This project addresses the crucial challenge of securely embedding digital watermarks in images without compromising visual quality. By utilizing discrete wavelet transform (DWT) and modifying existing methods to fit the wavelet domain, researchers can develop a more robust and imperceptible watermarking technique. This research can empower scholars to explore innovative methods, simulations, and data analysis for their dissertations, theses, or research papers. MTech students and PhD scholars specializing in image processing, computer vision, and MATLAB can utilize the code and literature of this project to enhance their work in the domain of image watermarking.

The use of intelligent systems like neural networks for optimizing the strength of embedded watermarks adds a layer of sophistication to the research. The future scope of this project includes the potential integration of advanced machine learning algorithms for improved watermarking techniques. Overall, this project offers a valuable avenue for pursuing cutting-edge research methods in the realm of image encryption and watermarking.

Keywords

image encryption, invisible image, digital watermarking, wavelet domain, robust watermarking, imperceptible watermark, resistance to attacks, digital image encryption, DWT algorithm, image quality, watermark information, imperceptible watermarking, neural network optimization, real-time watermarking, discrete wavelet transform, image watermarking techniques, watermark embedding, intelligent systems, image processing, computer vision, M.Tech thesis, PhD research work, MATLAB projects, image watermarking software