A systematic survey on Image Encryption using Compressive Sensing

  • Patel S
  • Vaish A
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Abstract

In today's world of developing technology, Multime-dia transmission through public network is increasing drastically, so there is a need of fast transmission with data security. Compressive Sensing (CS), is a new approach which can acquire the signal in a compressed form. It dimensionally reduces the signal with the help of measurement matrix. Reduction of dimension is totally dependent on the Sparsity. CS has a feature to reconstruct the signal in lesser than the Nyquist sampling rate if the signal is sparse. In the case of transmission, signal security is also a serious concern. CS has an embedded feature of cryptography. It works as a cryptosystem when measurement matrix is shared as a key between the sender and receiver. CS has a vital scope in medical imaging, video acquisition etc. Many researchers have tried to encrypt the signal with the help of different chaos based measurement matrix. This paper gives a detailed survey and critical analysis on the image encryption techniques using CS which can help the naive researchers to excel the field.

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APA

Patel, S., & Vaish, A. (2020). A systematic survey on Image Encryption using Compressive Sensing. Journal of Scientific Research, 64(01), 291–296. https://doi.org/10.37398/jsr.2020.640154

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