Một thuật toán mã hóa hình ảnh đôi có ý nghĩa hiệu quả dựa trên cảm biến nén song song và nhúng FRFT

Bao L, Zhou Y (2015) Image encryption: generating visually meaningful encrypted images. Inf Sci 324:197–207 Baraniuk R (2007) Compressive sensing. IEEE Signal Process Mag 24:118–121 Candes E, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 52:489–509 Cao W, Mao Y, Zhou Y (2020) Designing a 2D infinite collapse map for image encryption. Signal Process 171:107457 Chai X, Gan Z, Chen Y, Zhang Y (2017) A visually secure image encryption scheme based on compressive sensing. Signal Process 134:35–51 Chai X, Wu H, Gan Z, Zhang Y, Chen Y, Nixon K (2020) An efficient visually meaningful image compression and encryption scheme based on compressive sensing and dynamic LSB embedding. Opt Laser Eng 124:105837 Donoho D (2006) Compressed sensing. IEEE Trans Inf Theory 52:1289–1306 Elhoseny H, Faragallah O, Ahmed H, Kazemian H, El-sayed H, El-Samie F (2016) The effect of fractional Fourier transform angle in encryption quality for digital images. Optik 127:315–319 Fan H, Zhou K, Zhang E, Wen W, Li M (2020) Subdata image encryption scheme based on compressive sensing and vector quantization. Neural Comput Applic 32:12771–12787 Gan Z, Chai X, Zhang J, Zhang Y, Chen Y (2020) An effective image compression-encryption scheme based on compressive sensing (CS) and game of life (GOL). Neural Comput Applic 32:14113–14141 Gong L, Qiu K, Deng C, Zhou N (2019) An image compression and encryption algorithm based on chaotic system and compressive sensing. Opt Laser Technol 115:257–267 Henon M (1976) A two-dimensional mapping with a strange attractor. Commun Math Phys 50(1):69–77 Hu G, Xiao D, Wang Y, Xiang T (2017) An image coding scheme using parallel compressive sensing for simultaneous compression-encryption applications. J Vis Commun Image Represent 44:116–127 Hu G, Xiao D, Wang Y, Xiang T, Zhou Q (2017) Securing image information using double random phase encoding and parallel compressive sensing with updated sampling processes. Opt Laser Eng 98:123–133 Hua Z, Zhou Y (2021) Exponential chaotic model for generating robust chaos. IEEE Trans Syst Man Cybern -Syst 51(6):3713–3724 Hua ZY, Zhang KY, Li YM, Zhou YC (2021) Visually secure image encryption using adaptive-thresholding sparsification and parallel compressive sensing. Signal Process 183:107998 Huang R, Rhee K, Uchida S (2014) A parallel image encryption method based on compressive sensing. Multimed Tools Appl 72:71–93 Khan J, Boulila W, Ahmad J, Rubaiee S, Rehman A, Alroobaea R, Buchanan W (2020) DNA and plaintext dependent chaotic visual selective image encryption. IEEE Access 8:159732–159744 Li J, Di X, Liu X, Chen X (2017) Image encryption based on quantum-CNN hyperchaos system and anamorphic fractional Fourier transform. In 10th International Congress on Image and Signal Processing. J Biomed Eng Inform:1–6 Li M, Wang P, Yue Y, Liu Y (2021) Cryptanalysis of a secure image encryption scheme based on a novel 2D sine-cosine cross-chaotic map. J Real-Time Image Proc 18:2135–2149 Mondal B, Singh S, Kumar P (2019) A secure image encryption scheme based on cellular automata and chaotic skew tent map. J Inf Secur Appl 45:117–130 Musanna F, Dangwal D, Kumar S (2020) A novel chaos-based approach in conjunction with MR-SVD and pairing function for generating visually meaningful cipher images. Multimed Tools Appl 79:25115–25142 Musanna F, Kumar S (2019) A novel fractional order chaos-based image encryption using fisher yates algorithm and 3-D cat map. Multimed Tools Appl 78:14867–14895 Naskar P, Bhattacharyya S, Nandy D, Chaudhuri A (2020) A robust image encryption scheme using chaotic tent map and cellular automata. Nonlinear Dyn. 100:2877–2898 Pak C, Huang L (2017) A new color image encryption using combination of the 1D chaotic map. Signal Process 138:129–137 Pan C, Ye G, Huang X, Zhou J (2019) Novel meaningful image encryption based on block compressive sensing. Secur Commun Netw:6572105 Ping P, Fu J, Mao Y, Xu F, Gao J (2019) Meaningful encryption: generating visually meaningful encrypted images by compressive sensing and reversible color transformation. IEEE Access 7:170168–170184 Ping P, Xu F, Mao Y, Wang Z (2018) Designing permutation-substitution image encryption networks with Henon map. Neuro-computing. 283:53–63 Ponuma R, Amutha R (2017) Compressive sensing based image compression-encryption using novel 1D-chaotic map. Multimed Tools Appl 77:19209–19234 Rachlin, Y., Baron, D. The secrecy of compressed sensing measurements. in: Proceedings of the Allerton Conference on Communi-cation, Control and Computing, 813–817 (2008). Souyah A, Faraoun K (2016) Fast and efficient randomized encryption scheme for digital images based on quadtree decomposition and reversible memory cellular automata. Nonlinear Dyn 84(2):715–732 Wang H, Xiao D, Li M, Xiang Y, Li X (2019) A visually secure image encryption scheme based on parallel compressive sensing. Signal Process 155:218–232 Wang X, Guan N (2020) A novel chaotic image encryption algorithm based on extended zigzag confusion and RNA operation. Opt Laser Technol 131:106366 Wang X, Li Z (2019) A color image encryption algorithm based on Hopfield chaotic neural network. Opt Laser Eng 115:107–118 Wang X, Su Y (2020) Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform. Sci Rep 10:18556 Wen W, Hong Y, Fang Y, Li M, Li M (2020) A visually secure image encryption scheme based on semi-tensor product compressed sensing. Signal Process 173:107580 Wen W, Wei K, Zhang Y, Fang Y, Li M (2020) Colour light field image encryption based on DNA sequences and chaotic systems. Nonlinear Dyn. 99:1587–1600 Yang F, Mou J, Cao Y, Chu R (2020) An image encryption algorithm based on BP neural network and hyperchaotic system. China Commun 17(5):21–28 Yang Y, Zou L, Zhou Y, Shi W (2020) Visually meaningful encryption for color images by using qi hyperchaotic system and singular value decomposition in YCbCr color space. Optik 213:164422 Ye G, Pan C, Dong Y, Jiao K, Huang X (2021) A novel multi-image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition. Trans Emerg Telecommun Technol 32(2):e4071 Ye G, Pan C, Dong Y, Shi Y, Huang X (2020) Image encryption and hiding algorithm based on compressive sensing and random numbers insertion. Signal Process 172:107563 Ye G, Pan C, Huang X, Zhao Z, He J (2018) A chaotic image encryption algorithm based on information entropy. Int J Bifurcation Chaos 28(1):1850010 Zhang L, Wong K, Zhang Y, Zhou J (2016) Bi-level protected compressive sampling. IEEE T Multimedia 18(9):1720–1732 Zhao H, Xie S, Zhang J, Wu T (2020) Fast image encryption algorithm based on improved Henon map. Application Research of Computers 37(12):3726–3730 Zhao H, Ye H, Wang R (2016) The construction of measurement matrices based on block weighing matrix in compressed sensing. Signal Process 123:64–74 Zhou K, Xu M, Luo J, Fan H, Li M (2019) Cryptanalyzing an image encryption based on a modified Henon map using hybrid chaotic shift transform. Digit Signal Process 93:115–127 Zhou N, Pan S, Cheng S, Zhou Z (2016) Image compression-encryption scheme based on hyper-chaotic system and 2D compressive sensing. Opt Laser Technol 82:121–133 Zhou N, Zhang A, Wu J, Pei D, Yang Y (2014) Novel hybrid image compression-encryption algorithm based on compressive sensing. Optik 125:5075–5080 Zhu L, Song H, Zhang X, Yan M, Zhang L, Yan T (2019) A novel image encryption scheme based on nonuniform sampling in block compressive sensing. IEEE Access 7:22161–22174 Zhu L, Song H, Zhang X, Yan M, Zhang T, Wang X, Xu J (2020) A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding. Signal Process 175:107629