Journal Press India®

Simultaneous Image Encryption and Compression using Adaptive Bit Plane Quadtree-based BTC

Vol 8 , Issue 2 , April - June 2020 | Pages: 30-35 | Research Paper  

https://doi.org/10.51976/ijari.822005

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Author Details ( * ) denotes Corresponding author

1. Pranob K. Charles, Department of Electronics and Communication Engineering, Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India
2. * K. Jyothi, Department of Electronics and Communication Engineering, Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India (kathilijyothi023@gmail.com)
3. E. Amulya, Department of Electronics and Communication Engineering, Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India
4. P. Sai Rani, Department of Electronics and Communication Engineering, Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India

In the digital World, huge amount of data is shared or stored every day. While sharing the data there may be a chance accessing of the data by an unauthorized persons. So In this study, by modifying standard JPEG compression algorithm, encryption and simultaneous decompression, decryption method is inspected. The proposed system deals with the computation of time and cost by combining compression and encryption by using Adaptive Bit plane Quad tree Block Truncation Coding (ABTC) technique. Here combined with edge detection and adaptive bit plane quantization, the adaptive bit plane quad tree-based BTC algorithm is used. The encryption of the data can be done with key validation technique. The main and ultimate goal is to secure the data from the unauthorized persons, to reduce the redundancy of the image and to store or transmit data in an efficient form.

Keywords

JPEG; Encryption; Compression; Decryption; Quantization; Quadtree; BTC


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