An Efficient Image Compression Encryption Scheme Based on BP Neural Network and DNA Mutation DOI
Yinghong Cao,

Zhaocheng Liu,

Kaihua Wang

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(9), P. 095023 - 095023

Published: Aug. 14, 2024

Abstract In this paper, an efficient image compression encryption scheme is proposed. Firstly, compressing the by using BP neural network before encryption, which not only saves subsequent and decryption time but also minimizes storage transmission space. Secondly, Chialvo neuron model used to generate chaotic sequences for process in scheme, confusing compressed according a confusion algorithm combining single-plane cross-plane. Next, diffusing confused image. Subsequently, diffused are DNA encoded, performing same or operation (DNA mutual mutations) mutations self-mutations). Finally, results decoded obtain cipher Security tests performance analysis show that can efficiently securely compress encrypt images of different sizes with higher reconstruction quality compared other schemes.

Language: Английский

A bistable locally active memristor multisynaptically coupled to Rulkov neurons DOI

Jinyue Zhu,

Yinghong Cao,

Xianying Xu

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(3)

Published: March 7, 2025

Language: Английский

Citations

0
Dynamical analysis, multi-cavity control and DSP implementation of a novel memristive autapse neuron model emulating brain behaviors DOI
Hongli Cao, Yinghong Cao, Lei Qin

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 191, P. 115857 - 115857

Published: Dec. 4, 2024

Language: Английский

Citations

2
Cross-Channel Color Image Encryption Scheme Based on Discrete Memristive Coupled Neurons and DWT Compression DOI Open Access
Yinghong Cao, Chang Cai, Xianying Xu

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(13), P. 2647 - 2647

Published: July 5, 2024

To address the consumption and security of color images for transmission storage, a cross-channel image encryption scheme based on discrete memristive coupled neuron model DWT compression is designed in this article. Firstly, dynamics system are analyzed found to possess hyperchaotic phenomenon, which provides sufficient scheme. Secondly, processed by wavelet transform (DWT) has quarter previous capacity. Then, combined with Hash function, resulting sequence given initial value system. Next, particle swarm foraging algorithm (PSFA) better disrupt correlation RGB channel. Finally, complementary DNA coding rule implemented further images. Simulation results show that even lossy compression, recovered can be clearly seen. The performance analysis illustrates under system, proposed brings higher

Language: Английский

Citations

1
Pengembangan Video Pembelajaran Berbantuan Canva Pada Pelajaran IPAS Kelas IV Di Sekolah Dasar DOI Creative Commons

Maisarah Maisarah,

Nuke Safria Yusnita

Madako Elementary School, Journal Year: 2024, Volume and Issue: 3(1), P. 1 - 14

Published: April 27, 2024

Tujuan penelitian ini untuk menghasilkan sebuah produk berupa video pembelajaran yang dapat mempermudah guru menyampaikan konsep-konsep pada pelajaran IPAS terutama materi keunikan kebiasaan masyarakat disekitarku serta memudahkan siswa dalam memahami materi. Jenis yakni dan pengembangan Video Pembelajaran berbantu canva, dengan model Thiagarajan, Semmel Smmel dikenal 4-D. Subjek terlibat ahli bahasa, pembelajaran, media pembelajaran. Hasil yaitu uji validitas materi, kebahasaan memperoleh persentase rata-rata skor akhir 91,24% kriteria sangat valid. Sehingga ditarik kesimpulan bahwa pembalajaran layak digunakan proses

Citations

0
A fractional-time PDE-constrained parameter identification for inverse image noise removal problem DOI
Anouar Ben-Loghfyry

Journal of the Franklin Institute, Journal Year: 2024, Volume and Issue: unknown, P. 107443 - 107443

Published: Dec. 1, 2024

Language: Английский

Citations

0
Highly compressed image encryption algorithm via fractal and semi-tensor product compressed sensing DOI
Fan Lin, Meng Li

Journal of Electronic Imaging, Journal Year: 2024, Volume and Issue: 33(04)

Published: July 24, 2024

Storage space and security concerns on multimedia images have emerged as a global issue in recent years. Image encryption algorithm via compressed sensing (CS) is an effective method for data reducing storage space. However, the existing CS-based image still faces problems, such weak resistance to attacks extensive storage. We design high-compression that combines fractal semi-tensor product sensing. First, measurement matrix required CS generated using blocks combined with method, which enhances while size of matrix. Then, measurements obtained from sampling are used define features their mean standard deviation. Exclusion criteria set, codes through matched searching. Finally, code undergoes scrambling diffusion, providing triple-layer protection further improving secret image. In comparison conventional methods, our proposed has greatly improved compression efficiency advantages better concealment enhanced robustness. Experiments show we substantiate effectiveness superior performance all upholding quality security.

Language: Английский

Citations

0
An Efficient Image Compression Encryption Scheme Based on BP Neural Network and DNA Mutation DOI
Yinghong Cao,

Zhaocheng Liu,

Kaihua Wang

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(9), P. 095023 - 095023

Published: Aug. 14, 2024

Abstract In this paper, an efficient image compression encryption scheme is proposed. Firstly, compressing the by using BP neural network before encryption, which not only saves subsequent and decryption time but also minimizes storage transmission space. Secondly, Chialvo neuron model used to generate chaotic sequences for process in scheme, confusing compressed according a confusion algorithm combining single-plane cross-plane. Next, diffusing confused image. Subsequently, diffused are DNA encoded, performing same or operation (DNA mutual mutations) mutations self-mutations). Finally, results decoded obtain cipher Security tests performance analysis show that can efficiently securely compress encrypt images of different sizes with higher reconstruction quality compared other schemes.

Language: Английский

Citations

0