Implementation of Image Compression and Cryptography on Fractal Images

  • Abhishek Madaan
  • Madhulika Bhatia
  • Madhurima Hooda
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 38)

Abstract

Fractal image compression can be implemented in many ways, such as IFS, affine transformations, and HV partitioning. Quadtree decomposition and Huffman encoding are used to improve compression. The work shows the existing methods like quadtree decomposition which is used to subdivide the original fractal image into unoverlapped blocks with a certain value of threshold. It also helps to improve compression ratio and peak signal-to-noise ratio. Huffman encoding is used with quadtree to decrease the number of bits required per symbol. The paper also involves the implementation of selective encryption using chaos on fractal images. A lot of data is being transferred every day, and that is why there is always a need of cryptography. Selective encryption is preferred over other encryption algorithms because it does not require to encrypt the whole image, i.e., image is only partially encrypted. Security analysis of proposed algorithm is also done in this paper which shows that this algorithm would be safe from any attack. MATLAB is used as a tool to implement the two algorithms.

Keywords

Fractal images Huffman encoding and decoding Encryption PSNR Coefficient correlation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Abhishek Madaan
    • 1
  • Madhulika Bhatia
    • 2
  • Madhurima Hooda
    • 1
  1. 1.Amity UniversityNoidaIndia
  2. 2.Manav Rachna International UniversityFaridabadIndia

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