Full report on the digital image hiding technique using curvelet transform.

Introduction

In the field of digital image processing, the technique of image hiding has gained significant importance in recent years. Image hiding is the process of embedding a secret message or image into a cover image in such a way that it is imperceptible to the human eye. This process ensures the security and privacy of the hidden data.

One of the most advanced techniques for image hiding is using curvelet transform. The curvelet transform is a multi-scale transform that is particularly effective in representing images with smooth contours and edges. This transform has been widely utilized in various image processing applications, including image hiding.

Problem Statement

While image hiding using curvelet transform offers many advantages, there are still some limitations and challenges associated with the existing systems. The current systems may suffer from issues such as low embedding capacity, poor security, and low robustness to attacks.

Existing System

In the existing systems of digital image hiding using curvelet transform, the process involves dividing the cover image into blocks and then embedding the secret message or image into these blocks using the curvelet coefficients. While this method is effective in hiding the data, it has limitations such as limited embedding capacity and vulnerability to attacks.

Disadvantages

Some of the disadvantages of the existing system of digital image hiding using curvelet transform include:
1. Low embedding capacity: The current systems may have a limited capacity to embed the secret data into the cover image.
2. Vulnerability to attacks: The hidden data may be easily extracted by attackers using various steganalysis techniques.
3. Poor security: The security of the hidden data may be compromised due to the limitations of the existing system.

Proposed System

To address the limitations of the existing system, we propose a novel approach for digital image hiding using curvelet transform. Our proposed system aims to enhance the embedding capacity, security, and robustness of the hidden data.

Advantages

Some of the advantages of our proposed system include:
1. Enhanced embedding capacity: Our system will have a higher capacity to embed the secret data into the cover image.
2. Improved security: The hidden data will be more secure and less vulnerable to attacks.
3. Increased robustness: The hidden data will be more robust against various steganalysis attacks.

Features

Some of the key features of our proposed system for digital image hiding using curvelet transform include:
1. Advanced encryption techniques: We will incorporate advanced encryption techniques to enhance the security of the hidden data.
2. Increased embedding capacity: Our system will have a higher capacity to embed a larger amount of data into the cover image.
3. Robustness to attacks: The hidden data will be more robust and resistant to various steganalysis attacks.
4. Improved image quality: Our system will ensure that the quality of the cover image is not compromised during the embedding process.

Conclusion

In conclusion, digital image hiding using curvelet transform is an important technique in the field of image processing. While the existing systems may have limitations and disadvantages, our proposed system aims to overcome these challenges and enhance the security, embedding capacity, and robustness of the hidden data. By incorporating advanced encryption techniques and improving the embedding process, our system will provide a more secure and reliable method of hiding data in images. We believe that our proposed system has the potential to make a significant contribution to the field of digital image hiding using curvelet transform.