Development of a Scalable Coding for the Encryption of Images using Diagonal Min-Max Block Truncation Code
Jeya Bright Pankiraj1, Vishnuvarthanan Govindaraj2, Pallikonda Rajasekaran Murugan3, Arun Prasath Thiyagarajan4
1Jeya Bright Pankiraj, Department of ECE, Kalasalingam Academy of Research and Education Kalasalingam University, Srivilliputhur (Tamil Nadu), India.
2Vishnuvarthanan Govindaraj, BME, Kalasalingam Academy of Research and Education Kalasalingam University, Srivilliputhur (Tamil Nadu), India.
3Pallikonda Rajasekaran Murugan, Department of ECE, Kalasalingam Academy of Research and Education Kalasalingam University, Srivilliputhur (Tamil Nadu), India.
4Arun Prasath Thiyagarajan, Kalasalingam Academy of Research and Education Kalasalingam University, Srivilliputhur (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 18 December 2019 | Manuscript Published on 30 December 2019 | PP: 718-723 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A11301291S419/19©BEIESP | DOI: 10.35940/ijeat.A1130.1291S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes a scalability coding on encrypted images, especially resolution scalability on lossy compression images. In the compression stage, the input gray level image is compressed using Diagonal Min-Max Block Truncation Coding technique. The compressed input image is encrypted using pseudorandom numbers masked by modulo-256, and then the encoded bit streams are transmitted. The pseudorandom numbers generated will be the encrypted key and the same is shared to the receiver. In the receiver side, the encoded bit stream is decrypted by using the shared encrypted key, which gives the compressed pixel value. Then the original image is reconstructed by using Diagonal Min-Max Block Truncation Coding Technique.
Keywords: Diagonal Min-Max Block Truncation Coding, Image Encryption, Lossy Compression, Scalable Coding.
Scope of the Article: Mobile App Design and Development