Jpeg2000 Compatible Neural Network Based Cipher
نویسنده
چکیده
In this paper, an efficient encryption technique is proposed, especially for JPEG2000 compatible images. The technique uses a multilayer neural network to generate a pseudo-random sequence for transforming wavelet subbands into cipher subbands. The neural network generator takes 64 bit key as a startup seed with additional 64 bit key for initial weights and biases. At each layer, output is calculated by several iterations to increase the complexity of the pseudorandom sequence generation. In order to examine effectiveness of this approach, various tests including correlation, histogram, key space etc. are conducted on test images, and the results demonstrate the robustness of the proposed approach.
منابع مشابه
GENERATION OF MULTIPLE SPECTRUM-COMPATIBLE ARTIFICIAL EARTHQUAKE ACCELEGRAMS WITH HARTLEY TRANSFORM AND RBF NEURAL NETWORK
The Hartley transform, a real-valued alternative to the complex Fourier transform, is presented as an efficient tool for the analysis and simulation of earthquake accelerograms. This paper is introduced a novel method based on discrete Hartley transform (DHT) and radial basis function (RBF) neural network for generation of artificial earthquake accelerograms from specific target spectrums. Acce...
متن کاملEfficient neural-network-based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images
Reliably assessing overall quality of JPEG/JPEG2000 coded images without having the original image as a reference is still challenging, mainly due to our limited understanding of how humans combine the various perceived artifacts to an overall quality judgment. A known approach to avoid the explicit simulation of human assessment of overall quality is the use of a neural network. Neural network...
متن کاملAn encryption scheme for JPEG2000 codestream based on packets header information and data encryption for confidentential medical images transmission
In this paper, a novel selective encryption scheme for JPEG2000 codestream is proposed. Many of proposals format compliant encryption schemes for JPEG2000 that have been made encrypt packet body data, but leave header packet in plaintext. Our proposed scheme encrypts code-blocks data corresponding to some sensitive precincts. This encryption is combined to a cyclic permutation of all packets he...
متن کاملTwo Novel Learning Algorithms for CMAC Neural Network Based on Changeable Learning Rate
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. In the training phase, the disadvantage of some CMAC models is unstable phenomenon...
متن کاملMachine learning based Visual Evoked Potential (VEP) Signals Recognition
Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...
متن کامل