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Tytuł artykułu

Image compression-encryption algorithm combining compressive sensing with log operation

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Based on compressive sensing and log operation, a new image compression-encryption algorithm is proposed, which accomplishes encryption and compression simultaneously. The proposed image compression-encryption algorithm takes advantage of not only the physical realizability of partial Hadamard matrix, but also the resistance of the chosen-plaintext attack since all the elements in the partial Hadamard matrix are 1, –1 or log 1 = 0. The proposed algorithm is sensitive to the key and it can resist various common attacks. The simulation results verify the validity and reliability of the proposed image compression-encryption algorithm.
Czasopismo
Rocznik
Strony
563--573
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
autor
  • Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
Bibliografia
  • [1] DONOHO D.L., Compressed sensing, IEEE Transactions on Information Theory 52(4), 2006, pp. 1289–1306.
  • [2] CANDES E.J., Compressive sampling, Marta Sanz Solé 17(2), 2006, pp. 1433–1452.
  • [3] NANRUN ZHOU, AIDI ZHANG, JIANHUA WU, DONGJU PEI, YIXIAN YANG, Novel hybrid image compression-encryption algorithm based on compressive sensing, Optik 125(18), 2014, pp. 5075–5080.
  • [4] HUIMIN ZHAO, YANMEI FANG, On the security and robustness with fingerprint watermarking signal via compressed sensing, International Journal of Security and its Applications 9(1), 2015, pp. 221–236.
  • [5] JING YU, YUAN LI, XINWEN XIE, NANRUN ZHOU, ZHIHONG ZHOU, Image encryption algorithm by using the logistic map and discrete fractional angular transform, Optica Applicata 47(1), 2017, pp. 141–155.
  • [6] LINFEI CHEN, GUOJUN CHANG, BINGYU HE, HAIDAN MAO, DAOMU ZHAO, Optical image conversion and encryption by diffraction, phase retrieval algorithm and incoherent superposition, Optics and Lasers in Engineering 88, 2017, pp. 221–232.
  • [7] DRORI I., Compressed video sensing, BMVA Symposium on Video 11(4), 2008, pp. 1–2.
  • [8] CHAO WANG, DAPENG LIANG, Secrecy of compressed sensing measurements, Telecommunication Engineering, 2010.
  • [9] FUCHENG YIN, QI HE, ZHENGJUN LIU, A known-plaintext attack on iterative random phase encoding in fractional Fourier domains, Optica Applicata 47(1), 2017, pp. 131–139.
  • [10] PEI LU, ZHIYONG XU, XI LU, XIAOYONG LIU, Digital image information encryption based on compressive sensing and double random-phase encoding technique, Optik 124(16), 2013, pp. 2514–2518.
  • [11] KUMAR M., VAISH A., An efficient encryption-then-compression technique for encrypted images using SVD, Digital Signal Processing 60, 2017, pp. 81–89.
  • [12] NANRUN ZHOU, HAOLIN LI, DI WANG, SHUMIN PAN, ZHIHONG ZHOU, Image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transform, Optics Communications 343, 2015, pp. 10–21.
  • [13] XINPENG ZHANG, YANLI REN, GUORUI FENG, ZHENXING QIAN, Compressing encrypted image using compressive sensing, 2011 Seventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IEEE Computer Society, 2011, pp. 222–225.
  • [14] XIAOWEI LI, DAN XIAO, QIONG-HUA WANG, Error-free holographic frames encryption with CA pixel-permutation encoding algorithm, Optics and Lasers in Engineering 100, 2018, pp. 200–207.
  • [15] ZHENGJUN LIU, CHENG GUO, JIUBIN TAN, WEI LIU, JINGJING WU, QUN WU, LIQIANG PAN, SHUTIAN LIU, Securing color image by using phase-only encoding in Fresnel domains, Optics and Lasers in Engineering 68, 2015, pp. 87–92.
  • [16] PONUMA R., AMUTHA R., Compressive sensing based image compression-encryption using novel 1D-chaotic map, Multimedia Tools and Applications 77(15), 2018, pp. 19209–19234.
  • [17] HAMDI M., RHOUMA R., BELGHITH S., A selective compression-encryption of images based on SPIHT coding and Chirikov standard map, Signal Processing 131, 2017, pp. 514–526.
  • [18] MAHMOOD M.K., SHEHAB J.N., Image encryption and compression based on compressive sensing and chaos, International Journal of Computer Engineering and Technology 5(1), 2014, pp. 68–84.
  • [19] HUANG R., RHEE K.H., UCHIDA S., A parallel image encryption method based on compressive sensing, Multimedia Tools and Applications 72(1), 2014, pp. 71–93.
  • [20] RAWAT N., KIM B., KUMAR R., Fast compressive sensing based digital image encryption technique using structurally random matrices and Arnold transform, Optik 127(4), 2016, pp. 2282–2286.
  • [21] NANRUN ZHOU, AIDI ZHANG, FEN ZHENG, LIHUA GONG, Novel image compression-encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing, Optics and Laser Technology 62, 2014, pp. 152–160.
  • [22] NANRUN ZHOU, SHUMIN PAN, SHAN CHENG, ZHIHONG ZHOU, Image compression-encryption scheme based on hyper-chaotic system and 2D compressive sensing, Optics and Laser Technology 82, 2016, pp. 121–133.
  • [23] ENDRA R.S., Compressive sensing-based image encryption with optimized sensing matrix, 2013 IEEE International Conference on Computational Intelligence and Cybernetics (CYBERNETICSCOM), IEEE, 2014, pp. 122–125.
  • [24] XINGBIN LIU, WENBO MEI, HUIQIAN DU, Simultaneous image compression, fusion and encryption algorithm based on compressive sensing and chaos, Optics Communications 366, 2016, pp. 22–32.
  • [25] LIANSHENG SUI, HAIWEI LU, ZHANMIN WANG, QINDONG SUN, Double-image encryption using discrete fractional random transform and logistic maps, Optics and Lasers in Engineering 56, 2014, pp. 1–12.
  • [26] JUAN DENG, SHU ZHAO, YAN WANG, LEI WANG, HONG WANG, HONG SHA, Image compression-encryption scheme combining 2D compressive sensing with discrete fractional random transform, Multimedia Tools and Applications 76(7), 2017, pp. 10097–10117.
  • [27] GUIQIANG HU, DI XIAO, YONG WANG, TAO XIANG, An image coding scheme using parallel compressive sensing for simultaneous compression-encryption applications, Journal of Visual Communication and Image Representation 44, 2017, pp. 116–127.
  • [28] MGHIMANI H., BABAIE-ZADEH M., JUTTEN C., A fast approach for overcomplete sparse decomposition based on smoothed 0 norm, IEEE Transactions on Signal Processing 57(1), 2009, pp. 289–301.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7bfedd64-bef4-4ef3-b269-e49345462a76
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