Faster Image Encryption: A Semi-Tensor Product Approach
نویسندگان
چکیده
منابع مشابه
A tensor product approach to the abstract partial fourier transforms over semi-direct product groups
In this article, by using a partial on locally compact semi-direct product groups, we present a compatible extension of the Fourier transform. As a consequence, we extend the fundamental theorems of Abelian Fourier transform to non-Abelian case.
متن کاملa tensor product approach to the abstract partial fourier transforms over semi-direct product groups
in this article, by using a partial on locally compact semi-direct product groups, we present a compatible extension of the fourier transform. as a consequence, we extend the fundamental theorems of abelian fourier transform to non-abelian case.
متن کاملLow storage space for compressive sensing: semi-tensor product approach
Random measurement matrices play a critical role in successful recovery with the compressive sensing (CS) framework. However, due to its randomly generated elements, these matrices require massive amounts of storage space to implement a random matrix in CS applications. To effectively reduce the storage space of the random measurement matrix for CS, we propose a random sampling approach for the...
متن کاملA Note on Tensor Product of Graphs
Let $G$ and $H$ be graphs. The tensor product $Gotimes H$ of $G$ and $H$ has vertex set $V(Gotimes H)=V(G)times V(H)$ and edge set $E(Gotimes H)={(a,b)(c,d)| acin E(G):: and:: bdin E(H)}$. In this paper, some results on this product are obtained by which it is possible to compute the Wiener and Hyper Wiener indices of $K_n otimes G$.
متن کاملDiffusion on a Tensor Product Graph for Semi-Supervised Learning Diffusion on a Tensor Product Graph for Semi-Supervised Learning and Interactive Image Segmentation
We derive a novel semi-supervised learning method that propagates label information as a symmetric, anisotropic diffusion process (SADP). Since the influence of label information is strengthened at each iteration, the process is anisotropic and does not blur the label information. We show that SADP converges to a closed form solution by proving its equivalence to a diffusion process on a tensor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2018
ISSN: 2475-8841
DOI: 10.12783/dtcse/csae2017/17470