Image Encryption using Color Space Neural Network Transformation and Chaotic Pixel Perturbation

被引：0

作者：

Al-Muhammed, Muhammed ^{[1
]}

Ababneh, Ahmad ^{[2
]}

Al-Daraiseh, Ahmad ^{[2
]}

机构：

[1] Morehead State Univ, Dept Comp Sci & Comp Engn, Morehead, KY 40351 USA

[2] Amer Univ Madaba, Fac Informat Technol, Madaba, Jordan

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2025年 / 19卷 / 09期

关键词：

Image encryption; Neural network; Color space conversion; Pixel perturbation; STEGANOGRAPHY METHOD; MATRIX;

D O I：

10.1007/s11760-025-04318-x

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel image encryption method combining neural networks, color space transformation, and chaotic systems. Unlike traditional methods, it enhances the dimensionality of complexity by introducing key- and input-dependent security. It integrates dual-stage pixel scrambling, memory-based bidirectional substitution, and color transformation neural networks. The proposed method yields low adjacent pixel correlation (0.0002) and near-ideal entropy (7.9990), with minimal computational load.

引用

页数：9

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