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

Pauline Puteaux 1 William Puech 1
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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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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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