Open AccessExploiting random convolution and random subsampling for image encryption and compression
Author(s) -
Zhang Yushu,
Zhang Leo Yu
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.0927
Subject(s) - convolution (computer science) , encryption , encoding (memory) , computer science , image compression , algorithm , scheme (mathematics) , image (mathematics) , theoretical computer science , data compression , compression (physics) , random function , mathematics , random variable , artificial intelligence , image processing , statistics , computer network , mathematical analysis , materials science , composite material , artificial neural network
A new image encoding scheme for simultaneous encryption and compression applications, which is based on random convolution and random subsampling, is proposed. In comparison with the existing joint optical encryption and compression schemes tailored for multiple images, the proposed scheme can process a single image and achieve a robust reconstruction. The scheme with the architecture of double random masks is somewhat similar to double random phase encoding. However, the latter has no compression capability and the proposed scheme remedies this defect.