Mã hóa khối không danh sách 3D cho các cảm biến ảnh siêu phổ hạn chế tài nguyên

citation_journal_title=LWT.; citation_title=Classification of pulse flours using near-infrared hyperspectral imaging; citation_author=C Sivakumar, MM Chaudhry, J Paliwal; citation_volume=15; citation_issue=154; citation_publication_date=2022; citation_pages=112799; citation_doi=10.1016/j.lwt.2021.112799; citation_id=CR1 citation_journal_title=IEEE Sens. J.; citation_title=Hyperspectral imaging based corrosion detection in nuclear packages; citation_author=J Zabalza, P Murray, S Bennett, A Campbell, S Marshall, J Ren, Y Yan, R Bernard, S Hepworth, S Malone, N Cockbain; citation_volume=23; citation_issue=1; citation_publication_date=2023; citation_pages=25607-25617; citation_doi=10.1109/JSEN.2023.3312938; citation_id=CR2 citation_journal_title=Precis. Agric.; citation_title=Drone remote sensing of wheat N using hyperspectral sensor and machine learning; citation_author=RN Sahoo, RG Rejith, S Gakhar, R Ranjan, MC Meena, A Dey, J Mukherjee, R Dhakar, A Meena, A Daas, S Babu; citation_publication_date=2023; citation_doi=10.1007/s11119-023-10089-7; citation_id=CR3 Sarinova, A., Lisnevskyi, R., Biloshchytskyi, A., and Akizhanova, A.: The Lossless Compression Algorithm of Hyperspectral Aerospace Images with Correlation and Bands Grouping. 2022 International Conference on Smart Information Systems and Technologies (SIST). IEEE, pp. 1-5 (2022). https://doi.org/10.1109/SIST54437.2022.9945821 . citation_journal_title=BioChip J.; citation_title=Hyperspectral imaging for clinical applications; citation_author=J Yoon; citation_volume=16; citation_issue=1; citation_publication_date=2022; citation_pages=1-12; citation_doi=10.1007/s13206-021-00041-0; citation_id=CR5 Shinde, S.R., Bhavsar, K., Kimbahune, S., Khandelwal, S., Ghose, A., & Pal, A. Detection of Counterfeit Medicines using Hyperspectral Sensing. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, pp. 6155–6158, (2020). https://doi.org/10.1109/EMBC44109.2020.9176419 . citation_journal_title=Hyperspect. Imaging Appl.; citation_title=Hyperspectral imaging analysis of corrosion products on metals in the UV range; citation_author=A Keane, P Murray, J Zabalza, A Buono, N Cockbain, R Bernard; citation_volume=II; citation_issue=12338; citation_publication_date=2023; citation_pages=44-53; citation_doi=10.1117/12.2647429; citation_id=CR7 citation_journal_title=Sensors.; citation_title=Analysis of hyperspectral data to develop an approach for document images; citation_author=Z Zaman, SB Ahmed, MI Malik; citation_volume=23; citation_issue=15; citation_publication_date=2023; citation_pages=6845; citation_doi=10.3390/s23156845; citation_id=CR8 citation_journal_title=J. Agric. Food Res.; citation_title=Potential application of hyperspectral imaging in food grain quality inspection, evaluation and control during bulk storage; citation_author=NA Aviara, JT Liberty, OS Olatunbosun, HA Shoyombo, SK Oyeniyi; citation_volume=8; citation_publication_date=2022; citation_doi=10.1016/j.jafr.2022.100288; citation_id=CR9 citation_journal_title=Earth Sci. Inform.; citation_title=Performance evaluation of dimensionality reduction techniques on hyperspectral data for mineral exploration; citation_author=C Deepa, A Shetty, AV Narasimhadhan; citation_volume=16; citation_issue=1; citation_publication_date=2023; citation_pages=25-36; citation_doi=10.1007/s12145-023-00956-2; citation_id=CR10 Nisha, A., and Anitha, A.: Current Advances in Hyperspectral Remote Sensing in Urban Planning. 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). IEEE, pp. 94–98, (2022). https://doi.org/10.1109/ICICICT54557.2022.9917771 . citation_journal_title=Climate Change Impacts Nat. Resour. Ecosyst. Agric. Syst.; citation_title=Application of hyperspectral remote sensing role in precision farming and sustainable agriculture under climate change: A review; citation_author=CB Pande, KN Moharir; citation_volume=14; citation_publication_date=2023; citation_pages=503-520; citation_doi=10.1007/978-3-031-19059-9_21; citation_id=CR12 citation_journal_title=Environ. Sci. Pollut. Res.; citation_title=Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey; citation_author=MA Moharram, DM Sundaram; citation_volume=30; citation_issue=3; citation_publication_date=2023; citation_pages=5580-5602; citation_doi=10.1007/s11356-022-24202-2; citation_id=CR13 citation_journal_title=Remote Sens.; citation_title=The potential of monitoring carbon dioxide emission in a geostationary view with the GIIRS meteorological hyperspectral infrared sounder; citation_author=Q Zhang, W Smith, M Shao; citation_volume=15; citation_issue=4; citation_publication_date=2023; citation_pages=886; citation_doi=10.3390/rs15040886; citation_id=CR14 Jun, S., Choi, W., Kim, D., Park, H., Kyeon, D., Lee, K., Jeon, Y.J., Lee, C., Kim, K., Ha, J. and Ryu, S.: Semiconductor Device Metrology for Detecting Defective Chip Due to High-Aspect Ratio-Based Structures using Hyperspectral Imaging and Deep Learning. Metrology, Inspection, and Process Control XXXVII. Vol. 12496. SPIE (2023). https://doi.org/10.1117/12.2657062 . citation_journal_title=Remote Sens.; citation_title=Autonomous satellite wildfire detection using hyperspectral imagery and neural networks: a case study on Australian wildfire; citation_author=K Thangavel, D Spiller, R Sabatini, S Amici, ST Sasidharan, H Fayek, P Marzocca; citation_volume=15; citation_issue=3; citation_publication_date=2023; citation_pages=720; citation_doi=10.3390/rs15030720; citation_id=CR16 citation_journal_title=J. Indian Soc. Remote Sens.; citation_title=Identification of water and nitrogen stress indicative spectral bands using hyperspectral remote sensing in maize during post-monsoon season; citation_author=BB Naik, HR Naveen, G Sreenivas, KK Choudary, D Devkumar, J Adinarayana; citation_volume=48; citation_publication_date=2020; citation_pages=1787-1795; citation_doi=10.1007/s12524-020-01200-w; citation_id=CR17 citation_journal_title=IEEE Geosci. Remote Sens. Mag.; citation_title=Hypersectral imaging for military and security applications: Combining myriad processing and sensing techniques; citation_author=M Shimoni, R Haelterman, C Perneel; citation_volume=7; citation_issue=2; citation_publication_date=2019; citation_pages=101-117; citation_doi=10.1109/MGRS.2019.2902525; citation_id=CR18 Bajpai, S., Singh, H.V., Kidwai, N.R.: Feature Extraction & Classification of Hyperspectral Images Using Singular Spectrum Analysis & Multinomial Logistic Regression Classifiers." 2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT). IEEE, pp. 97–100 (2017). https://doi.org/10.1109/MSPCT.2017.8363982 . Chandra, H., and Bajpai, S.: Listless Block Cube Tree Coding For Low Resource Hyperspectral Image Compression Sensors. 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), pp. 1–5. (2022) https://doi.org/10.1109/IMPACT55510.2022.10029076 . citation_journal_title=Microprocess. Microsyst.; citation_title=Auto encoder based dimensionality reduction and classification using convolutional neural networks for hyperspectral images; citation_author=M Ramamurthy, YH Robinson, S Vimal, A Suresh; citation_volume=79; citation_publication_date=2020; citation_doi=10.1016/j.micpro.2020.103280; citation_id=CR21 citation_journal_title=Geosci. Remote Sens. Lett.; citation_title=Singular spectrum analysis for effective feature extraction in hyperspectral imaging.; citation_author=J Zabalza, J Ren, Z Wang, S Marshall, J Wang; citation_volume=11; citation_issue=11; citation_publication_date=2014; citation_pages=1886-1890; citation_doi=10.1109/LGRS.2014.2312754; citation_id=CR22 citation_journal_title=Multimed. Tools Appl.; citation_title=Hyperspectral imaging and target detection algorithms: a review; citation_author=KA Sneha; citation_volume=81; citation_issue=30; citation_publication_date=2022; citation_pages=44141-44206; citation_doi=10.1007/s11042-022-13235-x; citation_id=CR23 citation_journal_title=IET Image Proc.; citation_title=Band selection of hyperspectral image by sparse manifold clustering; citation_author=S Das, S Bhattacharya, A Routray, A Kani Deb; citation_volume=13; citation_issue=10; citation_publication_date=2019; citation_pages=1625-1635; citation_doi=10.1049/iet-ipr.2018.5423; citation_id=CR24 citation_journal_title=Remote Sens.; citation_title=Hyperspectral image denoising via adversarial learning; citation_author=J Zhang, Z Cai, F Chen, D Zeng; citation_volume=14; citation_issue=8; citation_publication_date=2022; citation_pages=1790; citation_doi=10.3390/rs14081790; citation_id=CR25 citation_journal_title=IEEE Trans. Geosci. Remote Sens.; citation_title=Multiscale diff-changed feature fusion network for hyperspectral image change detection; citation_author=F Luo, T Zhou, J Liu, T Guo, X Gong, J Ren; citation_volume=61; citation_publication_date=2023; citation_pages=1-13; citation_doi=10.1109/TGRS.2023.3241097; citation_id=CR26 citation_journal_title=IEEE Trans. Geosci. Remote Sens.; citation_title=Dimensionality reduction and classification of hyperspectral image via multistructure unified discriminative embedding; citation_author=F Luo, Z Zou, J Liu, Z Lin; citation_volume=60; citation_publication_date=2021; citation_pages=1-16; citation_doi=10.1109/TGRS.2021.3128764; citation_id=CR27 citation_journal_title=IETE Tech. Rev.; citation_title=PCA-based feature reduction for hyperspectral remote sensing image classification; citation_author=MP Uddin, MA Mamun, MA Hossain; citation_volume=38; citation_issue=4; citation_publication_date=2021; citation_pages=377-396; citation_doi=10.1080/02564602.2020.1740615; citation_id=CR28 citation_journal_title=Multimed. Tools Appl.; citation_title=Hyperspectral image segmentation: a comprehensive survey; citation_author=R Grewal, SS Kasana, G Kasana; citation_volume=82; citation_issue=14; citation_publication_date=2023; citation_pages=20819-20872; citation_doi=10.1007/s11042-022-13959-w; citation_id=CR29 citation_journal_title=J. Appl. Remote. Sens.; citation_title=Unmixing aware compression of hyperspectral image by rank aware orthogonal parallel factorization decomposition; citation_author=S Das, S Ghosal; citation_volume=17; citation_issue=4; citation_publication_date=2023; citation_pages=046509-046509; citation_doi=10.1117/1.JRS.17.046509; citation_id=CR30 citation_journal_title=J. Indian Soc. Remote Sens.; citation_title=Comparative analysis and implication of Hyperion hyperspectral and landsat-8 multispectral dataset in land classification; citation_author=N Dahiya, S Singh, S Gupta; citation_volume=51; citation_publication_date=2023; citation_pages=2201-2213; citation_doi=10.1007/s12524-023-01760-7; citation_id=CR31 citation_journal_title=J. Elect. Comput. Eng.; citation_title=Curvelet transform based compression algorithm for low resource hyperspectral image sensors; citation_author=S Bajpai, D Sharma, M Alam, VS Chandel, AK Pandey, SL Tripathi; citation_volume=2023; citation_publication_date=2023; citation_pages=1-18; citation_doi=10.1155/2023/8961271; citation_id=CR32 citation_journal_title=Multimed. Tools Appl.; citation_title=Fractional wavelet filter based low memory coding for hyperspectral image sensors; citation_author=S Bajpai, NR Kidwai; citation_publication_date=2023; citation_doi=10.1007/s11042-023-16528-x; citation_id=CR33 citation_journal_title=IETE Tech. Rev.; citation_title=Success journey of coherent PM-QPSK technique with its variants: a survey; citation_author=D Sharma, YK Prajapati, R Tripathi; citation_volume=37; citation_issue=1; citation_publication_date=2020; citation_pages=36-55; citation_doi=10.1080/02564602.2018.1557569; citation_id=CR34 citation_journal_title=Comput. Sci. Rev.; citation_title=Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges; citation_author=G Jaiswal, R Rani, H Mangotra, A Sharma; citation_volume=50; citation_publication_date=2023; citation_doi=10.1016/j.cosrev.2023.100584; citation_id=CR35 citation_journal_title=The Vis. Comput.; citation_title=Compression of multi-temporal hyperspectral images based on RLS filter; citation_author=Y Dua, RS Singh, V Kumar; citation_volume=38; citation_issue=1; citation_publication_date=2022; citation_pages=65-75; citation_doi=10.1007/s00371-020-02000-6; citation_id=CR36 citation_journal_title=J. Intell. Fuzzy Syst.; citation_title=3D-Memory efficient listless set partitioning in hierarchical trees for hyperspectral image sensors.; citation_author=H Chandra, S Bajpai, M Alam, VS Chandel, AK Pandey, D Pandey; citation_volume=45; citation_issue=6; citation_publication_date=2023; citation_pages=11163-11187; citation_doi=10.3233/JIFS-231684; citation_id=CR37 citation_journal_title=Multimed. Tools Appl.; citation_title=Low complexity image coding technique for hyperspectral image sensors; citation_author=S Bajpai; citation_volume=82; citation_issue=20; citation_publication_date=2023; citation_pages=31233-31258; citation_doi=10.1007/s11042-023-14738-x; citation_id=CR38 citation_journal_title=Opt. Eng.; citation_title=Comprehensive review of hyperspectral image compression algorithms; citation_author=Y Dua, V Kumar, RS Singh; citation_volume=59; citation_issue=9; citation_publication_date=2020; citation_pages=090902; citation_doi=10.1117/1.OE.59.9.090902; citation_id=CR39 citation_journal_title=Wireless Pers. Commun.; citation_title=Low complexity and low memory compression algorithm for hyperspectral image sensors; citation_author=S Bajpai; citation_volume=131; citation_issue=2; citation_publication_date=2023; citation_pages=805-833; citation_doi=10.1007/s11277-023-10455-8; citation_id=CR40 citation_journal_title=IEEE Sens. J.; citation_title=ZM-SPECK: A fast and memoryless image coder for multimedia sensor networks; citation_author=NR Kidwai, E Khan, M Reisslein; citation_volume=16; citation_issue=8; citation_publication_date=2016; citation_pages=2575-2587; citation_doi=10.1109/JSEN.2016.2519600; citation_id=CR41 citation_journal_title=Multidimens. Syst. Signal Process.; citation_title=Computationally efficient wavelet-based low memory image coder for WMSNs/IoT; citation_author=M Tausif, E Khan, A Pinheiro; citation_volume=18; citation_publication_date=2023; citation_pages=1-24; citation_doi=10.1007/s11045-023-00878-8; citation_id=CR42 Chandra, H., Bajpai, S.: 3D-Block Partitioning Embedded Coding for Hyperspectral Image Sensors. 2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), pp 1–5 (2023). https://doi.org/10.1109/PIECON56912.2023.10085841 . citation_journal_title=Int. J. Wavelets Multiresolut. Inf. Process.; citation_title=Hyperspectral image compression using hybrid transform with different wavelet-based transform coding; citation_author=R Nagendran, A Vasuki; citation_volume=18; citation_issue=1; citation_publication_date=2020; citation_pages=1941008; citation_doi=10.1142/S021969131941008X; citation_id=CR44 citation_journal_title=IEEE Trans. Geosci. Remote Sens.; citation_title=A novel rate control algorithm for onboard predictive coding of multispectral and hyperspectral images; citation_author=D Valsesia, E Magli; citation_volume=52; citation_issue=10; citation_publication_date=2014; citation_pages=6341-6355; citation_doi=10.1109/TGRS.2013.2296329; citation_id=CR45 citation_journal_title=Multimed. Tools Appl.; citation_title=The linear prediction vector quantization for hyperspectral image compression; citation_author=R Li, Z Pan, Y Wang; citation_volume=78; citation_publication_date=2019; citation_pages=11701-11718; citation_doi=10.1007/s11042-018-6724-8; citation_id=CR46 citation_journal_title=Inf. Commun. Technol. Intell. Syst.; citation_title=Compressive sensing approach to satellite hyperspectral image compression; citation_author=KS Gunasheela, HS Prasantha; citation_publication_date=2019; citation_doi=10.1007/978-981-13-1742-2_49; citation_id=CR47 citation_journal_title=Int. J. Wavelets Multiresol. Inform. Process.; citation_title=Distributed lossy compression for hyperspectral images based on multilevel coset codes; citation_author=K Xu, B Liu, Y Nian, M He, J Wan; citation_volume=15; citation_issue=02; citation_publication_date=2017; citation_pages=1750012; citation_doi=10.1142/S0219691317500126; citation_id=CR48 citation_journal_title=IEEE Trans. Geosci. Remote Sens.; citation_title=Adaptive spectral–spatial compression of hyperspectral image with sparse representation; citation_author=W Fu, S Li, L Fang, JA Benediktsson; citation_volume=55; citation_issue=2; citation_publication_date=2016; citation_pages=671-682; citation_doi=10.1109/TGRS.2016.2613848; citation_id=CR49 citation_journal_title=Pattern Recogn. Lett.; citation_title=Hyperspectral image compression based on simultaneous sparse representation and general-pixels; citation_author=C Fu, Y Yi, F Luo; citation_volume=116; citation_publication_date=2018; citation_pages=65-71; citation_doi=10.1016/j.patrec.2018.09.013; citation_id=CR50 citation_journal_title=IET Image Proc.; citation_title=Hyperspectral image, video compression using sparse tucker tensor decomposition; citation_author=S Das; citation_volume=15; citation_issue=4; citation_publication_date=2021; citation_pages=964-973; citation_doi=10.1049/ipr2.12077; citation_id=CR51 citation_journal_title=Signal Process. Image Commun.; citation_title=Convolution neural network based lossy compression of hyperspectral images; citation_author=Y Dua, RS Singh, K Parwani, S Lunagariya, V Kumar; citation_volume=95; citation_publication_date=2021; citation_doi=10.1016/j.image.2021.116255; citation_id=CR52 citation_journal_title=Trans. Emerg. Telecommun. Technol.; citation_title=Optimal deep learning based image compression technique for data transmission on industrial Internet of things applications; citation_author=B Sujitha, VS Parvathy, EL Lydia, P Rani, Z Polkowski, K Shankar; citation_volume=32; citation_issue=7; citation_publication_date=2021; citation_pages=e3976; citation_doi=10.1002/ett.3976; citation_id=CR53 citation_journal_title=Remote Sens.; citation_title=Hyperspectral image compression using vector quantization, PCA and JPEG2000; citation_author=D Báscones, C González, D Mozos; citation_volume=10; citation_issue=6; citation_publication_date=2018; citation_pages=907; citation_doi=10.3390/rs10060907; citation_id=CR54 citation_journal_title=J. Inst. Eng. INDIA Series B; citation_title=The role of transforms in image compression; citation_author=VK Bairagi, AM Sapkal, MS Gaikwad; citation_volume=94; citation_publication_date=2013; citation_pages=135-140; citation_doi=10.1007/s40031-013-0049-9; citation_id=CR55 Tang, X., and Pearlman, W.A.: Lossy-to-Lossless Block-Based Compression of Hyperspectral Volumetric Data. 2004 International Conference on Image Processing, Vol. 5., pp. 3283–3286, IEEE (2004). https://doi.org/10.1109/ICIP.2004.1421815 Tang, X., and Pearlman, W.A.: Three-Dimensional Wavelet-Based Compression of Hyperspectral Images. Hyperspectral Data Compression. Boston, MA: Springer US, pp. 273–308 (2006). https://doi.org/10.1007/0-387-28600-4_10 . citation_journal_title=Int. J. Innov. Technol. Explor. Eng. IJITEE.; citation_title=3D wavelet block tree coding for hyperspectral images; citation_author=S Bajpai, NR Kidwai, HV Singh; citation_volume=8; citation_issue=6C; citation_publication_date=2019; citation_pages=64-68; citation_id=CR58 Ngadiran, R., Boussakta, S., Sharif, B., & Bouridane, A.: Efficient implementation of 3D listless SPECK. International Conference on Computer and Communication Engineering (ICCCE'10). IEEE, pp. 1–4, (2010). https://doi.org/10.1109/ICCCE.2010.5556843 . citation_journal_title=J. Sci. Ind. Res.; citation_title=3D listless embedded block coding algorithm for compression of volumetric medical images; citation_author=VK Sudha, R Sudhakar; citation_volume=72; citation_publication_date=2013; citation_pages=735-748; citation_id=CR60 citation_journal_title=Multimed. Tools Appl.; citation_title=Low memory block tree coding for hyperspectral images; citation_author=S Bajpai, NR Kidwai, HV Singh, AK Singh; citation_volume=78; citation_issue=19; citation_publication_date=2019; citation_pages=27193-27209; citation_doi=10.1007/s11042-019-07797-6; citation_id=CR61 citation_journal_title=Multimed. Tools Appl.; citation_title=Low complexity block tree coding for hyperspectral image sensors; citation_author=S Bajpai; citation_volume=81; citation_issue=23; citation_publication_date=2022; citation_pages=33205-33232; citation_doi=10.1007/s11042-022-13057-x; citation_id=CR62 citation_journal_title=Multimed. Tools Appl.; citation_title=A low complexity hyperspectral image compression through 3D set partitioned embedded zero block coding; citation_author=S Bajpai, NR Kidwai, HV Singh, AK Singh; citation_volume=81; citation_issue=1; citation_publication_date=2022; citation_pages=841-872; citation_doi=10.1007/s11042-021-11456-0; citation_id=CR63 citation_journal_title=Indones. J. Elect. Eng. Comput. Sci. IJEECS.; citation_title=3D modified wavelet block tree coding for hyperspectral images; citation_author=S Bajpai, HV Singh, NR Kidwai; citation_volume=15; citation_issue=2; citation_publication_date=2019; citation_pages=1001-1008; citation_doi=10.11591/ijeecs.v15.i2.pp1001-1008; citation_id=CR64 citation_journal_title=IEEE Trans. Geosci. Remote Sens.; citation_title=Exploiting calibration-induced artifacts in lossless compression of hyperspectral imagery; citation_author=AB Kiely, MA Klimesh; citation_volume=47; citation_issue=8; citation_publication_date=2009; citation_pages=2672-2678; citation_doi=10.1109/TGRS.2009.2015291; citation_id=CR65 citation_journal_title=ACM Trans. Multimed. Comput. Commun. Appl. TOMM.; citation_title=A comprehensive study of deep learning-based covert communication; citation_author=A Anand, SA Kumar; citation_volume=18; citation_issue=2; citation_publication_date=2022; citation_pages=1-9; citation_doi=10.1145/3508365; citation_id=CR66 Tang, X., Pearlman, W.A., Modestino, J.W.: Hyperspectral Image Compression Using Three-Dimensional Wavelet Coding. Image and Video Communications and Processing 2003. Vol. 5022. SPIE, (2003). https://doi.org/10.1117/12.476516 . citation_journal_title=Int. J. Image Graph.; citation_title=Wavelet-based image compression encoding techniques—a complete performance analysis; citation_author=SP Raja; citation_volume=20; citation_issue=02; citation_publication_date=2020; citation_pages=2050008; citation_doi=10.1142/S0219467820500084; citation_id=CR68 citation_journal_title=IEEE Geosci. Remote Sens. Mag.; citation_title=The CCSDS 123.0-B-2 low-complexity lossless and near-lossless multispectral and hyperspectral image compression standard: a comprehensive review; citation_author=M Hernández-Cabronero, AB Kiely, M Klimesh, I Blanes, J Ligo, E Magli, J Serra-Sagrista; citation_volume=9; citation_issue=4; citation_publication_date=2021; citation_pages=102-119; citation_doi=10.1109/MGRS.2020.3048443; citation_id=CR69 citation_journal_title=Multimed. Tools Appl.; citation_title=Hiding patient information in medical images: an encrypted dual image reversible and secure patient data hiding algorithm for E-healthcare; citation_author=R Bhardwaj; citation_volume=81; citation_issue=1; citation_publication_date=2022; citation_pages=1125-1152; citation_doi=10.1007/s11042-021-11445-3; citation_id=CR70 citation_journal_title=Vis. Comput.; citation_title=Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression; citation_author=N Zikiou, M Lahdir, D Helbert; citation_volume=36; citation_issue=7; citation_publication_date=2020; citation_pages=1473-1490; citation_doi=10.1007/s00371-019-01753-z; citation_id=CR71 citation_journal_title=Multimed. Tools Appl.; citation_title=PSNR vs SSIM: imperceptibility quality assessment for image steganography; citation_author=DR Setiadi; citation_volume=80; citation_issue=6; citation_publication_date=2021; citation_pages=8423-8444; citation_doi=10.1007/s11042-020-10035-z; citation_id=CR72