Noisy Encrypted Image Correction based on Shannon Entropy Measurement in Pixel Blocks of Very Small Size - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2018

Noisy Encrypted Image Correction based on Shannon Entropy Measurement in Pixel Blocks of Very Small Size

Pauline Puteaux
William Puech

Abstract

Many techniques have been presented to protect image content confidentiality. The owner of an image encrypts it using a key and transmits the encrypted image across a network. If the recipient is authorized to access the original content of the image, he can reconstruct it losslessly. However, if during the transmission the encrypted image is noised, some parts of the image can not be deciphered. In order to localize and correct these errors, we propose an approach based on the local Shannon entropy measurement. We first analyze this measure as a function of the block-size. We provide then a full description of our blind error localization and removal process. Experimental results show that the proposed approach, based on local entropy, can be used in practice to correct noisy encrypted images, even with blocks of very small size.
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Dates and versions

lirmm-02023569 , version 1 (18-02-2019)

Identifiers

  • HAL Id : lirmm-02023569 , version 1

Cite

Pauline Puteaux, William Puech. Noisy Encrypted Image Correction based on Shannon Entropy Measurement in Pixel Blocks of Very Small Size. EUSIPCO: European Signal Processing Conference, Sep 2018, Rome, Italy. pp.161-165. ⟨lirmm-02023569⟩
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