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Hybrid Image Compression-Encryption Scheme Based on Multilayer Stacked Autoencoder and Logistic Map 被引量:1
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作者 Neetu Gupta ritu vijay 《China Communications》 SCIE CSCD 2022年第1期238-252,共15页
Secure transmission of images over a communication channel, with limited data transfer capacity, possesses compression and encryption schemes. A deep learning based hybrid image compression-encryption scheme is propos... Secure transmission of images over a communication channel, with limited data transfer capacity, possesses compression and encryption schemes. A deep learning based hybrid image compression-encryption scheme is proposed by combining stacked auto-encoder with the logistic map. The proposed structure of stacked autoencoder has seven multiple layers, and back propagation algorithm is intended to extend vector portrayal of information into lower vector space. The randomly generated key is used to set initial conditions and control parameters of logistic map. Subsequently, compressed image is encrypted by substituting and scrambling of pixel sequences using key stream sequences generated from logistic map.The proposed algorithms are experimentally tested over five standard grayscale images. Compression and encryption efficiency of proposed algorithms are evaluated and analyzed based on peak signal to noise ratio(PSNR), mean square error(MSE), structural similarity index metrics(SSIM) and statistical,differential, entropy analysis respectively. Simulation results show that proposed algorithms provide high quality reconstructed images with excellent levels of security during transmission.. 展开更多
关键词 compression-encryption stacked autoencoder chaotic system back propagation algorithm logistic map
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A Comparative Study & Performance Analysis of SRAM Cells with Symmetric & Asymmetric Configuration
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作者 Sandeep Dhariwal Sushma +2 位作者 Vipin Gupta ritu vijay vijay Lamba 《通讯和计算机(中英文版)》 2011年第4期313-317,共5页
关键词 SRAM单元 静态存储器 高速缓存 漏电功耗 存储单元 噪声容限 记忆细胞 待机模式
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Compression of MR Images Using DWT by Comparing RGB and YCbCr Color Spaces
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作者 Agrawal Jayprkash ritu vijay 《Journal of Signal and Information Processing》 2013年第4期364-369,共6页
This paper consists of a lossy image compression algorithm dedicated to the medical images doing comparison of RGB and YCbCr color space. Several lossy/lossless transform coding techniques are used for medical image c... This paper consists of a lossy image compression algorithm dedicated to the medical images doing comparison of RGB and YCbCr color space. Several lossy/lossless transform coding techniques are used for medical image compression. Discrete Wavelet Transform (DWT) is one such widely used technique. After a preprocessing step (remove the mean and RGB to YCbCr transformation), the DWT is applied and followed by the bisection method including thresholding, the quantization, dequantization, the Inverse Discrete Wavelet Transform (IDWT), YCbCr to RGB transform of mean recovering. To obtain the best compression ratio (CR), the next step encoding algorithm is used for compressing the input medical image into three matrices and forward to DWT block a corresponding containing the maximum possible of run of zeros at its end. The last step decoding algorithm is used to decompress the image using IDWT that is applied to get three matrices of medical image. 展开更多
关键词 Magnetic RESONANCE Image (MRI) RGB YCBCR TRANSFORM Block-Based DWT TRANSFORM CODING
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