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Digital Image Communication and Enhancement

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The Final Year Project presentation titled "Digital Image Communication and Enhancement" delivered at Electrical Engineering Department, HITEC University Taxila.

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Digital Image Communication and Enhancement

  1. 1. DIGITAL IMAGE COMMUNICATION AND ENHANCEMENT
  2. 2. PROJECT SUPERVISOR: • DR JAMEEL AHMED TEAM MEMBERS • NISAR AHMED RANA • SHEIKH M ARSHAD • GHAZAL ARSHAD • MARIA MINHAS HITEC University Taxila Department of Electrical Engineering PROJECT ADVISOR • ENGR WAQAS AHMED
  3. 3. Sequence of Presentation 1 •Introduction 2 •Proposed Solution 3 •Implementation 4 •Results 5 •Conclusion 6 •Appendix
  4. 4. Introduction  Image communication and enhancement is vital in today’s world.  Every image needs more or less enhancement to make it clearer for visual perception.  Images captured at remote areas are needed to be transferred at a desired location with speed, more accuracy and security.
  5. 5. Introduction  Image enhancement techniques are used to emphasize and sharpen image features to obtain a visually more pleasant, more detailed, or less noisy output image.  Image Encryption techniques are used to make the image secure over a public network whereas image compression reduces size for fast communication.
  6. 6. Scope Image communication and enhancement is being used in various fields:  E-toll plaza (Number-plate Recognition System)  Celestial imaging  Security purposes(Intruder and thief check)  Visual Surveillance  Biometrics (Fingerprint, Iris, Facial Recognition)  Biomedical imaging etc.
  7. 7. Problem Statement  To develop a complete solution for digital image enhancement for improved visualization.  Develop an efficient image encryption and compression solution for fast and secure communication.
  8. 8. Proposed Solution
  9. 9. Image Enhancement A variety of image enhancement techniques are discussed and implemented. The Enhancement results of these techniques depend on specific application. The basic working of the application is:- Processing Better ImageInput Image Enhancement Technique
  10. 10. Image Communication Image communication has been done by using PC to PC wired connection. It can be easily transported over any public network
  11. 11. Image Compression Lossless image compression compresses on the basis of reducing the redundancy. An image having high correlation in its pixels can be compressed more then an image having low correlation. We have encrypted the image such that the correlation of image pixels become minimized and its histogram becomes uniform. So lossless compression is not suitable for highly uncorrelated images. Simple lossy compression is implemented to reduce the size of image which uses DCT. The image encryption and decryption work well even after compression by lossy compression or popular image compression standards such as JPEG.
  12. 12. Image Encryption Encryption is the process of transforming information using an algorithm to make it unintelligible to anyone except those possessing special knowledge, usually referred to as a key. The result of the process is encrypted information. The reverse process of encryption is called decryption, to make the encrypted information readable again.
  13. 13. Image Encryption Input Image Make Tiles Permute the Tiles Chaos Map Encrypted Image Multiply it with Permuted Image Generate Orthonormal Vector
  14. 14. Results of Contrast Enhancement Contrast Enhancement results of Grayscale X-Ray images. Contrast Enhancement results Of color images.
  15. 15. Results of Noise Reduction Digital X-Ray of Chest (Postoanterior view) is contrast enhanced (left) and a portion (right) is enhanced by reducing noise.
  16. 16. Result of Image Encryption Original Image Permuted Image ReconstructionEncrypted Image
  17. 17. CONCLUSION The proposed algorithm has been tested on a large set of images from digital radiographic images, celestial images to digital camera images.
  18. 18. FUTURISTIC Though various aspects of image enhancement are catered for in the implementation and subsequent exercise of results, nevertheless, we understand that it is so demanding and absorbing area for research that the work could substantially be carried forward in following directions as a future work: Improvement in selective noise reduction techniques. Implementation in real time environment.
  19. 19. ACHIEVEMENT  Digital Radiographic Image Enhancement for Improved Visualization, Nisar Ahmed, Waqas Ahmed, Sheikh Muhammad Arshad, EMCOT COMSAT Institute of Information Technology, Page 38, May 9-10, 2011.  The Application of Image Enhancement on Color and Grayscale Images, Nisar Ahmed, Waqas Ahmed, APTEC 2011 CIIT-IEEE Proceeding. Page 17, April 10, 2011.  A Compression Friendly Image Encryption Scheme, Nisar Ahmed, under process

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