Icacci 2014 image security_presentation final
- 1. Sub-Band Exchange DWT Based Image Fusion Algorithm for Enhanced Security Jaypal Baviskar, Afshan Mulla Image Processing Department Intelligent Communication Lab Mumbai, India Email: [email protected] Contact: +91 8983079121 [email protected] +919867414095
- 2. Overview • Introduction • Proposed ‘Sub-band Exchange Image Fusion Algorithm’ Methodology • Results • Performance Evaluation • Conclusion 2
- 3. Introduction • Transmission of critical data over the link, in the presence of an attacker has augmented the demand for secure communication • In defensive information warfare arena, securing communication between substations & exchange of confidential data viz. images, text, audio etc. in a secure manner is very crucial • Hence, need for robust image encryption methods and security enhancement techniques has aggravated • Probability of secret military images being intercepted should be mitigated & the criticality of the application contexts should be solved • In this presentation, a Discrete Wavelet Transform (DWT) Sub-band Exchange based color image fusion scheme for enhanced security is proposed • An extremely unique algorithm that; Facilitates improvement in security of images that are shared between military base camps, Provides compression with minimum quality degradation 3
- 4. Proposed Image Security Algorithm 4 Fig.1: System Model for Image Fusion Technique
- 5. A. Mapping RGB Images to Fused Textured Gray-scale Images 5 Fig.2: Original Color Test Image Fig.3: (a) DWT Applied on Y-Component of both images, (b) Sub-bands replaced by Original Cb and Cr Components of switched images Fig.4: Fused Textured Gray-scale Image
- 6. B. Retrieving the Original RGB Image at Authenticated User end 6 Fig.5: Retrieved Cb-Cr Components of Image1 and Image2 Fig.6: (a) DWT Applied on Textured Gray-scale Images and Interpolated, to retrieved Y-components Fig.7: Retrieved RGB Color Images
- 7. Result Analysis And Performance Evaluation • A. Security aspects of the algorithm 1) The probability of interception (P) = 1 / (Number Of Images to be fused) 2) The number of combinations (n) = NCr where; N= Number of Images and r = Required images for combination 7 Fig.8: Probability of interception by attacker vs. Number of Images Fig.9: Possible number of combinations vs. Number of Images
- 8. • B. Comparison of original and recovered RGB image: (RGB Plot) 8 Result Analysis And Performance Evaluation Fig.10: (a) RGB Plot for Original Image1, (b) RGB Plot for Reconstructed Image1 Fig. 11: (a) RGB Plot for Original Image2, (b) RGB Plot for Reconstructed Image2
- 9. • B. Comparison of original and recovered RGB image: (NCC) 9 Result Analysis And Performance Evaluation Fig.12: Normalized Cross-Correlation Plot of image1 Fig.13: Normalized Cross-Correlation Plot of image2
- 10. • C. Evaluation of image quality parameters 1. PSNR 2. CR 3. MSE and RMSE 10 Result Analysis And Performance Evaluation Table 1: Analysis Of Image Quality Parameters
- 11. Conclusion • The algorithm implemented in this paper facilitates enhanced security as well as quality conscience compression ratio • It is based on an extremely unique method known as 2-level DWT based Sub-band Exchange Image Fusion Technique • Conversion of RGB images to fused textured gray-scale images provides acceptable compression for military image database • The bandwidth utilization and processing time required for transmission of these images is minimized to great extent 11
- 12. Conclusion • It facilitates improved security, in terms of preventing the attacker from getting hold on images transmitted over the link, since chrominance components are randomly swapped • Offers high compression ratio, maintaining good PSNR value, thereby mitigating errors • The algorithm is a highly reliable and competitive image encryption scheme in image processing domain 12
- 13. Thank You