{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T17:20:37Z","timestamp":1780507237806,"version":"3.54.1"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"27-28","license":[{"start":{"date-parts":[[2020,4,5]],"date-time":"2020-04-05T00:00:00Z","timestamp":1586044800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,4,5]],"date-time":"2020-04-05T00:00:00Z","timestamp":1586044800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Basic Scientific Research Projects of Colleges and Universities of Liaoning Province","award":["2017J045"],"award-info":[{"award-number":["2017J045"]}]},{"name":"Provincial Natural Science Foundation of Liaoning","award":["20170540060"],"award-info":[{"award-number":["20170540060"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s11042-020-08821-w","type":"journal-article","created":{"date-parts":[[2020,4,5]],"date-time":"2020-04-05T07:02:23Z","timestamp":1586070143000},"page":"19963-19992","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Lossless image compression-encryption algorithm based on BP neural network and chaotic system"],"prefix":"10.1007","volume":"79","author":[{"given":"Feifei","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Mou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kehui","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ran","family":"Chu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,4,5]]},"reference":[{"issue":"1\u20132","key":"8821_CR1","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s11071-012-0658-x","volume":"71","author":"G Ye","year":"2013","unstructured":"Ye G, Wong KW (2013) An image encryption scheme based on time-delay and hyperchaotic system [J]. Nonlinear Dynamics 71(1\u20132):259\u2013267","journal-title":"Nonlinear Dynamics"},{"key":"8821_CR2","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.optlaseng.2015.03.022","volume":"73","author":"XY Wang","year":"2015","unstructured":"Wang XY, Zhang YQ, Bao XM (2015) A novel chaotic image encryption scheme using DNA sequence operations [J]. Opt Lasers Eng 73:53\u201361","journal-title":"Opt Lasers Eng"},{"key":"8821_CR3","doi-asserted-by":"crossref","unstructured":"Wang XY, Gu SX, Zhang YQ (2015) Novel image encryption algorithm based on cycle shift and chaotic system [J]. Opt Lasers Eng 68","DOI":"10.1016\/j.optlaseng.2014.12.025"},{"key":"8821_CR4","doi-asserted-by":"crossref","unstructured":"Tomar RRS, Jain K (2016) Lossless image compression using differential pulse code modulation and its application[C]\/\/ fifth international conference on communication systems & network technologies. IEEE","DOI":"10.1109\/CSNT.2015.192"},{"key":"8821_CR5","doi-asserted-by":"crossref","unstructured":"Alshehri, Ali S. Neural network technique for image compression [J]. IET Image Processing, 2015.","DOI":"10.1049\/iet-ipr.2014.1039"},{"issue":"10","key":"8821_CR6","doi-asserted-by":"publisher","first-page":"2279","DOI":"10.1016\/S0031-3203(01)00178-9","volume":"35","author":"M Egmont-Petersen","year":"2002","unstructured":"Egmont-Petersen M, Ridder DD, Handels H (2002) Image processing with neural networks - a review. Pattern Recogn 35:2279C2301 [J]. Pattern Recogn 35(10):2279\u20132301","journal-title":"Pattern Recogn"},{"issue":"2","key":"8821_CR7","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1109\/5.364461","volume":"83","author":"RD Dony","year":"1995","unstructured":"Dony RD, Haykin S (1995) Neural network approaches to image compression [J]. Proc IEEE 83(2):288\u2013303","journal-title":"Proc IEEE"},{"issue":"7","key":"8821_CR8","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1109\/29.1644","volume":"36","author":"JG Daugman","year":"1988","unstructured":"Daugman JG (1988) Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression [J]. IEEE Trans acoust speech & Signal Process 36(7):1169\u20131179","journal-title":"IEEE Trans acoust speech & Signal Process"},{"key":"8821_CR9","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/978-3-642-33018-6_53","volume":"189","author":"S Kouamo","year":"2013","unstructured":"Kouamo S, Tangha C (2013) Image compression with artificial neural networks [J]. Advances in Intelligent Systems & Computing 189:515\u2013524","journal-title":"Advances in Intelligent Systems & Computing"},{"issue":"9","key":"8821_CR10","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/S0262-8856(01)00042-7","volume":"19","author":"S Costa","year":"2001","unstructured":"Costa S, Fiori S (2001) Image compression using principal component neural networks [J]. Image & Vision Computing Journal 19(9):649\u2013668","journal-title":"Image & Vision Computing Journal"},{"key":"8821_CR11","unstructured":"Hui Fang L, Mo L. (2010) A New Method of Image Compression Based on Quantum Neural Network[C]\/\/ International Conference of Information Science & Management Engineering. IEEE Computer Society"},{"key":"8821_CR12","unstructured":"Yeo W K, Yap D F W, Lim K C, et al. A feedforward neural network compression with near to lossless image quality and lossy compression ratio[C]\/\/ research & development. ."},{"key":"8821_CR13","doi-asserted-by":"crossref","unstructured":"Singh Y S, Devi B P, Singh K M. 2013 Image compression using multilayer feed forward artificial neural network with conjugate gradient[C]\/\/ Information & Communication Technologies","DOI":"10.1109\/WICT.2012.6409216"},{"key":"8821_CR14","doi-asserted-by":"crossref","unstructured":"Yan S, Zhong X.2013 Application of BP neural network with Chebyshev mapping in image compression[C]\/\/ third international conference on instrumentation","DOI":"10.1109\/IMCCC.2013.91"},{"issue":"5","key":"8821_CR15","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1049\/iet-ipr.2011.0079","volume":"6","author":"S Sahami","year":"2012","unstructured":"Sahami S, Shayesteh MG (2012) Bi-level image compression technique using neural networks [J]. IET Image Process 6(5):496\u2013506","journal-title":"IET Image Process"},{"issue":"3","key":"8821_CR16","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1049\/iet-ipr.2014.1039","volume":"10","author":"SA Alshehri","year":"2016","unstructured":"Alshehri SA (2016) Neural network technique for image compression [J]. IET Image Process 10(3):222\u2013226","journal-title":"IET Image Process"},{"key":"8821_CR17","volume-title":"Fast Back propagation neural network algorithm for reducing convergence time of BPNN image compression[C]\/\/ international conference on Information Technology & Multimedia","author":"ONA Al-Allaf","year":"2012","unstructured":"Al-Allaf O N A. Fast Back propagation neural network algorithm for reducing convergence time of BPNN image compression[C]\/\/ international conference on Information Technology & Multimedia. 2012."},{"issue":"3","key":"8821_CR18","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1109\/72.668891","volume":"9","author":"C Amerijckx","year":"1998","unstructured":"Amerijckx C, Legat JD, Thissen P et al (1998) Image compression by self-organized Kohonen map[J]. IEEE Trans Neural Netw 9(3):503\u2013507","journal-title":"IEEE Trans Neural Netw"},{"key":"8821_CR19","doi-asserted-by":"publisher","first-page":"126","DOI":"10.4028\/www.scientific.net\/AMM.135-136.126","volume":"135-136","author":"HK Xu","year":"2012","unstructured":"Xu HK, Yang WS, Fang JW et al (2012) A rapid method for image compression based on wavelet transform and SOFM neural network [J]. Appl Mech Mater 135-136:126\u2013131","journal-title":"Appl Mech Mater"},{"key":"8821_CR20","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/j.procs.2015.06.078","volume":"54","author":"P Upadhyay","year":"2015","unstructured":"Upadhyay P, Chhabra JK (2015) Modified self organizing feature map neural network (MSOFM NN) based gray image segmentation [J]. Procedia Computer Science 54:671\u2013675","journal-title":"Procedia Computer Science"},{"key":"8821_CR21","doi-asserted-by":"crossref","unstructured":"Denk T, Parhi K K, Cherkassky V.1993 Combining neural networks and the wavelet transform for image compression[C]\/\/ IEEE international conference on acoustics. .","DOI":"10.1109\/ICASSP.1993.319199"},{"key":"8821_CR22","doi-asserted-by":"crossref","unstructured":"Khashman A, Dimililer K. Image compression using neural networks and haar wavelet [J].2008 Wseas Transactions on Signal Processing","DOI":"10.1109\/EURCON.2009.5167831"},{"key":"8821_CR23","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1016\/j.neucom.2014.02.078","volume":"151","author":"AJ Hussain","year":"2015","unstructured":"Hussain AJ, Al-Jumeily D, Radi N et al (2015) Hybrid neural network predictive-wavelet image compression system[J]. Neurocomputing 151:975\u2013984","journal-title":"Neurocomputing"},{"key":"8821_CR24","unstructured":"Zhu C, Sun K. 2018 Cryptanalyzing and Improving a Novel Color Image Encryption Algorithm Using RT-Enhanced Chaotic Tent Maps [J]. IEEE Access, PP (99):1\u20131."},{"key":"8821_CR25","doi-asserted-by":"crossref","unstructured":"Wu X, Zhu B, Hu Y, et al. A novel colour image encryption scheme using rectangular transform-enhanced chaotic tent maps [J]. IEEE Access, 2017, PP (99):1\u20131.","DOI":"10.1109\/ACCESS.2017.2692043"},{"issue":"12","key":"8821_CR26","first-page":"1","volume":"76","author":"XJ Tong","year":"2016","unstructured":"Tong XJ, Chen P, Miao Z (2016) A joint image lossless compression and encryption method based on chaotic map [J]. Multimed Tools Appl 76(12):1\u201326","journal-title":"Multimed Tools Appl"},{"issue":"12","key":"8821_CR27","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1049\/iet-ipr.2013.0598","volume":"8","author":"A Masmoudi","year":"2014","unstructured":"Masmoudi A, Puech W (2014) Lossless chaos-based crypto-compression scheme for image protection [J]. IET Image Process 8(12):671\u2013686","journal-title":"IET Image Process"},{"key":"8821_CR28","unstructured":"Kumar S R, Binod K, Kumar S D, et al. 2018 Level by level image compression-encryption algorithm based on Quantum chaos map [J]. Journal of King Saud University - Computer and Information Sciences:S1319157817304123-."},{"key":"8821_CR29","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.asoc.2015.09.055","volume":"40","author":"M Brindha","year":"2016","unstructured":"Brindha M, Gounden NA (2016) A chaos based image encryption and lossless compression algorithm using hash table and Chinese remainder theorem [J]. Appl Soft Comput 40:379\u2013390","journal-title":"Appl Soft Comput"},{"issue":"6","key":"8821_CR30","doi-asserted-by":"publisher","first-page":"670","DOI":"10.1016\/j.image.2013.02.004","volume":"28","author":"H Zhu","year":"2013","unstructured":"Zhu H, Cheng Z, Zhang X (2013) A novel image encryption\u2013compression scheme using hyper-chaos and Chinese remainder theorem [J]. Signal Process Image Commun 28(6):670\u2013680","journal-title":"Signal Process Image Commun"},{"issue":"18","key":"8821_CR31","doi-asserted-by":"publisher","first-page":"5075","DOI":"10.1016\/j.ijleo.2014.06.054","volume":"125","author":"N Zhou","year":"2014","unstructured":"Zhou N, Zhang A, Wu J et al (2014) Novel hybrid image compression\u2013encryption algorithm based on compressive sensing [J]. Optik - International Journal for Light and Electron Optics 125(18):5075\u20135080","journal-title":"Optik - International Journal for Light and Electron Optics"},{"key":"8821_CR32","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/j.optcom.2017.01.061","volume":"392","author":"Z Ye","year":"2017","unstructured":"Ye Z, Xu B, Zhou N (2017) A novel image compression\u2013encryption hybrid algorithm based on the analysis sparse representation [J]. Opt Commun 392:223\u2013233","journal-title":"Opt Commun"},{"issue":"8","key":"8821_CR33","doi-asserted-by":"publisher","first-page":"977","DOI":"10.1109\/TCSII.2016.2641008","volume":"64","author":"B Bao","year":"2017","unstructured":"Bao B, Ning W, Quan X et al (2017) A simple third-order Memristive band pass filter chaotic circuit [J]. IEEE Transactions on Circuits & Systems II Express Briefs 64(8):977\u2013981","journal-title":"IEEE Transactions on Circuits & Systems II Express Briefs"},{"issue":"1","key":"8821_CR34","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1140\/epjp\/i2017-11310-7","volume":"132","author":"L Zhang","year":"2017","unstructured":"Zhang L, Sun K, He S et al (2017) Solution and dynamics of a fractional-order 5-D hyperchaotic system with four wings [J]. European Physical Journal Plus 132(1):31","journal-title":"European Physical Journal Plus"},{"issue":"6","key":"8821_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1140\/epjp\/i2016-16186-3","volume":"131","author":"Y Xu","year":"2016","unstructured":"Xu Y, Sun K, He S et al (2016) Dynamics of a fractional-order simplified unified system based on the Adomian decomposition method [J]. European Physical Journal Plus 131(6):1\u201312","journal-title":"European Physical Journal Plus"},{"key":"8821_CR36","unstructured":"He S, Sun K, Wang H. 2016 Dynamics of the fractional-order Lorenz system based on Adomian decomposition method and its DSP implementation[J]. IEEE\/CAA Journal of Automatica Sinica, , PP(99):1\u20136."},{"issue":"1","key":"8821_CR37","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1140\/epjp\/i2018-11828-0","volume":"133","author":"J Ruan","year":"2018","unstructured":"Ruan J, Sun K, Mou J et al (2018) Fractional-order simplest memristor-based chaotic circuit with new derivative [J]. European Physical Journal Plus 133(1):3","journal-title":"European Physical Journal Plus"},{"issue":"7","key":"8821_CR38","first-page":"1645","volume":"22","author":"AL Rukhin","year":"2010","unstructured":"Rukhin AL, Soto J, Nechvatal JR et al (2010) SP 800-22 rev. 1a. A statistical test suite for random and pseudorandom number generators for cryptographic applications [J]. Appl Phys Lett 22(7):1645\u20131179","journal-title":"Appl Phys Lett"},{"key":"8821_CR39","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.sigpro.2016.11.016","volume":"134","author":"X Chai","year":"2017","unstructured":"Chai X, Gan Z, Chen Y et al (2017) A visually secure image encryption scheme based on compressive sensing [J]. Signal Process 134:35\u201351","journal-title":"Signal Process"},{"key":"8821_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2018.02.007","volume":"148","author":"X Chai","year":"2018","unstructured":"Chai X, Zheng X, Gan Z et al (2018) An image encryption algorithm based on chaotic system and compressive sensing [J]. Signal Process 148:S0165168418300549","journal-title":"Signal Process"},{"issue":"4","key":"8821_CR41","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1080\/09500340.2014.964342","volume":"62","author":"Y Liang","year":"2015","unstructured":"Liang Y, Liu G, Zhou N et al (2015) Image encryption combining multiple generating sequences controlled fractional DCT with dependent scrambling and diffusion[J]. J Mod Opt 62(4):251\u2013264","journal-title":"J Mod Opt"},{"key":"8821_CR42","unstructured":"Wu X, Zhu B, Hu Y, et al. 2017 A novel colour image encryption scheme using rectangular transform-enhanced chaotic tent maps [J]. IEEE Access, PP(99):1\u20131."}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-08821-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-020-08821-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-08821-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,4]],"date-time":"2021-04-04T23:20:24Z","timestamp":1617578424000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-020-08821-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,5]]},"references-count":42,"journal-issue":{"issue":"27-28","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["8821"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-08821-w","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,5]]},"assertion":[{"value":"3 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 March 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 April 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"No conflicts of interests about the publication by all authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}