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Quantum Machine Learning

Level by level image compression-encryption algorithm based on quantum chaos map

DOAJ
Authors: Ranjeet Kumar Singh, Binod Kumar, Dilip Kumar Shaw, Danish Ali Khan

Year

2021

Paper ID

28080

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

169

Citations

68

Abstract

Informal availability of Internet and easy accessibility of network resources to a general public has created a new era of security design challenge for multimedia contents which is available in the form of image, text, video and audio etc. This paper presents a novel technique to employ a security mechanism for transmission of digital contents over public network. The proposed method uses a multilevel image encryption/decryption algorithm based on quantum chaos map and sparse sampling. In the initial phase an original image is divided into blocks of equal size and each block is further divided into sub-block using DWT technique. The pixels of the adjacent sub blocks are exchanged randomly by random matrix. Each frequency band of the blocks is encrypted by modulus function, and then combined each to get the new block. Next, pixels of the neighbor blocks are exchanged randomly by random matrix and subsequently each block is encrypted using modulus function. The result given in graphical and tabular form shows the correctness of the algorithm.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2021 reference point for readers tracking recent quantum research.
  • Informal availability of Internet and easy accessibility of network resources to a general public has created a new era of security design challenge for multimedia contents...

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External citation index: OpenAlex citation signal • updated 2026-10-27 04:44:02

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