| Title | Noisy Encrypted Image Correction based on Shannon Entropy Measurement in Pixel Blocks of Very Small Size |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Puteaux, Pauline, Puech, William |
| Conference Name | 2018 26th European Signal Processing Conference (EUSIPCO) |
| Date Published | sep |
| Keywords | blind error localization, block-size, composability, cryptography, Encryption, Entropy, Europe, forward error correction, image content confidentiality, image denoising, image encryption, image processing, Image reconstruction, local entropy, local Shannon entropy measurement, Metrics, multimedia security, Noise measurement, noisy encrypted image, pixel blocks, pubcrawl, Resiliency, statistical analysis |
| 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. |
| DOI | 10.23919/EUSIPCO.2018.8553101 |
| Citation Key | puteaux_noisy_2018 |
Noisy Encrypted Image Correction based on Shannon Entropy Measurement in Pixel Blocks of Very Small Size