{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:22:07Z","timestamp":1772119327785,"version":"3.50.1"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61861045"],"award-info":[{"award-number":["61861045"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61861045"],"award-info":[{"award-number":["61861045"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s00371-025-03845-5","type":"journal-article","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T07:56:17Z","timestamp":1740988577000},"page":"7909-7923","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive rate compression for distributed video sensing in wireless visual sensor networks"],"prefix":"10.1007","volume":"41","author":[{"given":"Zhen","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,3]]},"reference":[{"issue":"2","key":"3845_CR1","doi-asserted-by":"publisher","first-page":"1332","DOI":"10.1109\/TVCG.2018.2869326","volume":"26","author":"B Sheng","year":"2020","unstructured":"Sheng, B., Li, P., Jin, Y., Tan, P., Lee, T.-Y.: Intrinsic image decomposition with step and drift shading separation. IEEE Trans. Vis. Comput. Gr. 26(2), 1332\u20131346 (2020). https:\/\/doi.org\/10.1109\/TVCG.2018.2869326","journal-title":"IEEE Trans. Vis. Comput. Gr."},{"issue":"4","key":"3845_CR2","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TCSVT.2019.2901629","volume":"30","author":"B Sheng","year":"2020","unstructured":"Sheng, B., Li, P., Fang, X., Tan, P., Wu, E.: Depth-aware motion deblurring using loopy belief propagation. IEEE Trans. Circuits Syst. Video Technol. 30(4), 955\u2013969 (2020). https:\/\/doi.org\/10.1109\/TCSVT.2019.2901629","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"3","key":"3845_CR3","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1109\/TCSVT.2013.2276702","volume":"24","author":"B Sheng","year":"2014","unstructured":"Sheng, B., Sun, H., Magnor, M., Li, P.: Video colorization using parallel optimization in feature space. IEEE Trans. Circuits Syst. Video Technol. 24(3), 407\u2013417 (2014). https:\/\/doi.org\/10.1109\/TCSVT.2013.2276702","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4\u20135","key":"3845_CR4","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1080\/10447318.2018.1543081","volume":"35","author":"A Kamel","year":"2019","unstructured":"Kamel, A., Liu, B., Li, P., Sheng, B.: An investigation of 3d human pose estimation for learning tai chi: a human factor perspective. Int. J. Hum-Comput. Int. 35(4\u20135), 427\u2013439 (2019). https:\/\/doi.org\/10.1080\/10447318.2018.1543081","journal-title":"Int. J. Hum-Comput. Int."},{"issue":"5","key":"3845_CR5","doi-asserted-by":"publisher","first-page":"2774","DOI":"10.1109\/TSMC.2019.2916896","volume":"51","author":"K Aouaidjia","year":"2021","unstructured":"Aouaidjia, K., Sheng, B., Li, P., Kim, J., Feng, D.D.: Efficient body motion quantification and similarity evaluation using 3-d joints skeleton coordinates. IEEE Trans. Syst. Man Cybern Syst. 51(5), 2774\u20132788 (2021). https:\/\/doi.org\/10.1109\/TSMC.2019.2916896","journal-title":"IEEE Trans. Syst. Man Cybern Syst."},{"issue":"12","key":"3845_CR6","doi-asserted-by":"publisher","first-page":"3216","DOI":"10.1109\/TVCG.2018.2866090","volume":"25","author":"B Sheng","year":"2019","unstructured":"Sheng, B., Li, P., Gao, C., Ma, K.-L.: Deep neural representation guided face sketch synthesis. IEEE Trans. Vis. Comput. Gr. 25(12), 3216\u20133230 (2019). https:\/\/doi.org\/10.1109\/TVCG.2018.2866090","journal-title":"IEEE Trans. Vis. Comput. Gr."},{"issue":"2","key":"3845_CR7","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1109\/JIOT.2016.2583465","volume":"4","author":"Z Li","year":"2017","unstructured":"Li, Z., Huang, H., Misra, S.: Compressed sensing via dictionary learning and approximate message passing for multimedia internet of things. IEEE Internet Things J. 4(2), 505\u2013512 (2017). https:\/\/doi.org\/10.1109\/JIOT.2016.2583465","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"3845_CR8","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"EJ Cand\u00e8s","year":"2006","unstructured":"Cand\u00e8s, E.J., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489\u2013509 (2006). https:\/\/doi.org\/10.1109\/TIT.2005.862083","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"4","key":"3845_CR9","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"DL Donoho","year":"2006","unstructured":"Donoho, D.L.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289\u20131306 (2006). https:\/\/doi.org\/10.1109\/TIT.2006.871582","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"2","key":"3845_CR10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MSP.2007.914731","volume":"25","author":"EJ Cand\u00e8s","year":"2008","unstructured":"Cand\u00e8s, E.J., Wakin, M.B.: An introduction to compressive sampling. IEEE Signal Process. Mag. 25(2), 21\u201330 (2008). https:\/\/doi.org\/10.1109\/MSP.2007.914731","journal-title":"IEEE Signal Process. Mag."},{"key":"3845_CR11","doi-asserted-by":"publisher","first-page":"4875","DOI":"10.1109\/ACCESS.2018.2793851","volume":"6","author":"M Rani","year":"2018","unstructured":"Rani, M., Dhok, S.B., Deshmukh, R.B.: A systematic review of compressive sensing: concepts, implementations and applications. IEEE Access 6, 4875\u20134894 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2793851","journal-title":"IEEE Access"},{"issue":"2","key":"3845_CR12","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/MSP.2007.914730","volume":"25","author":"MF Duarte","year":"2008","unstructured":"Duarte, M.F., Davenport, M.A., Takhar, D., Laska, J.N., Sun, T., Kelly, K.F., Baraniuk, R.G.: Single-pixel imaging via compressive sampling. IEEE Signal Process. Mag. 25(2), 83\u201391 (2008). https:\/\/doi.org\/10.1109\/MSP.2007.914730","journal-title":"IEEE Signal Process. Mag."},{"issue":"3","key":"3845_CR13","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1007\/s00371-020-02054-6","volume":"38","author":"N Dhengre","year":"2022","unstructured":"Dhengre, N., Sinha, S.: K sparse autoencoder-based accelerated reconstruction of magnetic resonance imaging. Vis. Comput. 38(3), 837\u2013847 (2022). https:\/\/doi.org\/10.1007\/s00371-020-02054-6","journal-title":"Vis. Comput."},{"key":"3845_CR14","doi-asserted-by":"publisher","unstructured":"Kang, L.-W., Lu, C.-S.: Distributed compressive video sensing. In: Proceedings of 16th International Conference on Acoustics, Speech, and Signal Processing, pp. 1169\u20131172. (2009). https:\/\/doi.org\/10.1109\/ICASSP.2009.4959797","DOI":"10.1109\/ICASSP.2009.4959797"},{"issue":"1","key":"3845_CR15","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MSP.2016.2602099","volume":"34","author":"RG Baraniuk","year":"2017","unstructured":"Baraniuk, R.G., Goldstein, T., Sankaranarayanan, A.C., Studer, C., Veeraraghavan, A., Wakin, M.B.: Compressive video sensing: algorithms, architectures, and applications. IEEE Signal Process. Mag. 34(1), 52\u201366 (2017). https:\/\/doi.org\/10.1109\/MSP.2016.2602099","journal-title":"IEEE Signal Process. Mag."},{"issue":"2","key":"3845_CR16","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1007\/s11042-017-4345-2","volume":"77","author":"SA Nandhini","year":"2018","unstructured":"Nandhini, S.A., Radha, S., Kishore, R.: Efficient compressed sensing based object detection system for video surveillance application in WMSN. Multimed Tools Appl. 77(2), 1905\u20131925 (2018). https:\/\/doi.org\/10.1007\/s11042-017-4345-2","journal-title":"Multimed Tools Appl."},{"key":"3845_CR17","doi-asserted-by":"publisher","unstructured":"Ascenso, J., Brites, C., Pereira, F.: Content adaptive wyner-ziv video coding driven by motion activity. In: Proceedings of 2006 International Conference on Image Processing, pp. 605\u2013608. (2006). https:\/\/doi.org\/10.1109\/ICIP.2006.312408","DOI":"10.1109\/ICIP.2006.312408"},{"issue":"1","key":"3845_CR18","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1109\/JPROC.2004.839619","volume":"93","author":"B Girod","year":"2005","unstructured":"Girod, B., Aaron, A.M., Rane, S., Rebollo-Monedero, D.: Distributed video coding. Proc. IEEE 93(1), 71\u201383 (2005). https:\/\/doi.org\/10.1109\/JPROC.2004.839619","journal-title":"Proc. IEEE"},{"issue":"3","key":"3845_CR19","doi-asserted-by":"publisher","first-page":"1368","DOI":"10.3390\/s23031368","volume":"23","author":"E Belyaev","year":"2023","unstructured":"Belyaev, E.: An efficient compressive sensed video codec with inter-frame decoding and low-complexity intra-frame encoding. Sensors 23(3), 1368 (2023). https:\/\/doi.org\/10.3390\/s23031368","journal-title":"Sensors"},{"issue":"11","key":"3845_CR20","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/CC.2013.6674211","volume":"10","author":"L Ran","year":"2013","unstructured":"Ran, L., Zongliang, G., Ziguan, C., Minghu, W., Xiuchang, Z.: Distributed adaptive compressed video sensing using smoothed projected landweber reconstruction. China Commun. 10(11), 58\u201369 (2013). https:\/\/doi.org\/10.1109\/CC.2013.6674211","journal-title":"China Commun."},{"key":"3845_CR21","doi-asserted-by":"publisher","unstructured":"Gan, L.: Block compressed sensing of natural images. In: Proceedings of 15th International Conference on Digital Signal Processing, pp. 403\u2013406. (2007). https:\/\/doi.org\/10.1109\/ICDSP.2007.4288604","DOI":"10.1109\/ICDSP.2007.4288604"},{"issue":"6","key":"3845_CR22","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1049\/iet-ipr.2019.0661","volume":"14","author":"E Belyaev","year":"2020","unstructured":"Belyaev, E., Codreanu, M., Juntti, M., Egiazarian, K.: Compressive sensed video recovery via iterative thresholding with random transforms. IET Image Process. 14(6), 1187\u20131199 (2020). https:\/\/doi.org\/10.1049\/iet-ipr.2019.0661","journal-title":"IET Image Process."},{"issue":"6","key":"3845_CR23","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1007\/s00371-020-01884-8","volume":"37","author":"R Monika","year":"2021","unstructured":"Monika, R., Samiappan, D., Kumar, R.: Underwater image compression using energy based adaptive block compressive sensing for iout applications. Vis. Comput. 37(6), 1499\u20131515 (2021). https:\/\/doi.org\/10.1007\/s00371-020-01884-8","journal-title":"Vis. Comput."},{"key":"3845_CR24","doi-asserted-by":"publisher","unstructured":"Hubbard-Featherstone, C.J., Garcia, M.A., Lee, W.Y.L.: Adaptive block compressive sensing for image compression. In: Proceedings of 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), pp. 1\u20136. (2017). https:\/\/doi.org\/10.1109\/IVCNZ.2017.8402490","DOI":"10.1109\/IVCNZ.2017.8402490"},{"issue":"6","key":"3845_CR25","doi-asserted-by":"publisher","first-page":"4071","DOI":"10.1007\/s00371-023-03069-5","volume":"40","author":"R Monika","year":"2024","unstructured":"Monika, R., Dhanalakshmi, S.: An optimal adaptive reweighted sampling-based adaptive block compressed sensing for underwater image compression. Vis. Comput. 40(6), 4071\u20134084 (2024). https:\/\/doi.org\/10.1007\/s00371-023-03069-5","journal-title":"Vis. Comput."},{"key":"3845_CR26","doi-asserted-by":"publisher","first-page":"5412","DOI":"10.1109\/TIP.2022.3195319","volume":"31","author":"B Chen","year":"2022","unstructured":"Chen, B., Zhang, J.: Content-aware scalable deep compressed sensing. IEEE Trans. Image Process. 31, 5412\u20135426 (2022). https:\/\/doi.org\/10.1109\/TIP.2022.3195319","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"3845_CR27","doi-asserted-by":"publisher","first-page":"12022","DOI":"10.1109\/JIOT.2023.3331848","volume":"11","author":"X Liu","year":"2024","unstructured":"Liu, X., Zhou, S., Peng, J., Yu, J., He, Y., Zhang, W.: Adaptive sampling allocation for distributed data storage in compressive crowdsensing. IEEE Internet Things J. 11(7), 12022\u201312032 (2024). https:\/\/doi.org\/10.1109\/JIOT.2023.3331848","journal-title":"IEEE Internet Things J."},{"key":"3845_CR28","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2022.849606","volume":"13","author":"R Li","year":"2022","unstructured":"Li, R., Yang, Y., Sun, F.: Green visual sensor of plant: an energy-efficient compressive video sensing in the internet of things. Front. Plant Sci. 13, 849606 (2022). https:\/\/doi.org\/10.3389\/fpls.2022.849606","journal-title":"Front. Plant Sci."},{"key":"3845_CR29","doi-asserted-by":"publisher","unstructured":"Xia, J., Ma, M., Xie, Z.: An adaptive rate allocation method for distributed compressive video sensing. In: Proceedings of 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST), pp. 1528\u20131531 (2022). https:\/\/doi.org\/10.1109\/IAECST57965.2022.10062272","DOI":"10.1109\/IAECST57965.2022.10062272"},{"key":"3845_CR30","doi-asserted-by":"publisher","unstructured":"Chen, C., Tramel, E.W., Fowler, J.E.: Compressed-sensing recovery of images and video using multihypothesis predictions. In: Proceedings of Conference Rec. 45th Asilomar Conference on Signals, Systems, and Computers, pp. 1193\u20131198 (2011). https:\/\/doi.org\/10.1109\/ACSSC.2011.6190204","DOI":"10.1109\/ACSSC.2011.6190204"},{"key":"3845_CR31","doi-asserted-by":"publisher","unstructured":"Mun, S., Fowler, J.E.: Residual reconstruction for block-based compressed sensing of video. In: Proceedings of 2011 Data Compression Conference (DCC), pp. 183\u2013192. (2011). https:\/\/doi.org\/10.1109\/DCC.2011.25","DOI":"10.1109\/DCC.2011.25"},{"issue":"11","key":"3845_CR32","doi-asserted-by":"publisher","first-page":"2008","DOI":"10.1049\/iet-ipr.2019.0116","volume":"13","author":"H Li","year":"2019","unstructured":"Li, H.: Compressive domain spatial-temporal difference saliency-based realtime adaptive measurement method for video recovery. IET Image Process. 13(11), 2008\u20132017 (2019). https:\/\/doi.org\/10.1049\/iet-ipr.2019.0116","journal-title":"IET Image Process."},{"key":"3845_CR33","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TIP.2021.3135476","volume":"31","author":"J Wang","year":"2022","unstructured":"Wang, J., Wang, W., Chen, J.: Adaptive rate block compressive sensing based on statistical characteristics estimation. IEEE Trans. Image Process. 31, 734\u2013747 (2022). https:\/\/doi.org\/10.1109\/TIP.2021.3135476","journal-title":"IEEE Trans. Image Process."},{"issue":"9\u201310","key":"3845_CR34","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1016\/j.crma.2008.03.014","volume":"346","author":"EJ Cand\u00e8s","year":"2008","unstructured":"Cand\u00e8s, E.J.: The restricted isometry property and its implications for compressed sensing. C. R. Math. 346(9\u201310), 589\u2013592 (2008). https:\/\/doi.org\/10.1016\/j.crma.2008.03.014","journal-title":"C. R. Math."},{"issue":"12","key":"3845_CR35","doi-asserted-by":"publisher","first-page":"4203","DOI":"10.1109\/TIT.2005.858979","volume":"51","author":"EJ Cand\u00e8s","year":"2005","unstructured":"Cand\u00e8s, E.J., Tao, T.: Decoding by linear programming. IEEE Trans. Inf. Theory 51(12), 4203\u20134215 (2005). https:\/\/doi.org\/10.1109\/TIT.2005.858979","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"12","key":"3845_CR36","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1007\/s11801-022-2069-7","volume":"18","author":"W Yuan","year":"2022","unstructured":"Yuan, W., Liu, H.: Motion-adaptive adjacent-reference skipping for distributed video compressive sensing with general decoders. Optoelectron. Lett. 18(12), 755\u2013762 (2022). https:\/\/doi.org\/10.1007\/s11801-022-2069-7","journal-title":"Optoelectron. Lett."},{"issue":"1","key":"3845_CR37","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1109\/MMUL.2023.3342062","volume":"31","author":"J Yang","year":"2024","unstructured":"Yang, J., Wang, H., Taniguchi, I., Fan, Y., Zhou, J.: avcsr: adaptive video compressive sensing using region-of-interest detection in the compressed domain. IEEE Multimed. 31(1), 19\u201332 (2024). https:\/\/doi.org\/10.1109\/MMUL.2023.3342062","journal-title":"IEEE Multimed."},{"issue":"8","key":"3845_CR38","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.3390\/e23081002","volume":"23","author":"J Wang","year":"2021","unstructured":"Wang, J., Chen, J.: An adaptive rate blocked compressive sensing method for video. Entropy 23(8), 1002 (2021). https:\/\/doi.org\/10.3390\/e23081002","journal-title":"Entropy"},{"issue":"12","key":"3845_CR39","doi-asserted-by":"publisher","first-page":"1649","DOI":"10.1109\/TCSVT.2012.2221191","volume":"22","author":"GJ Sullivan","year":"2012","unstructured":"Sullivan, G.J., Ohm, J.-R., Han, W.-J., Wiegand, T.: Overview of the high efficiency video coding (hevc) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649\u20131668 (2012). https:\/\/doi.org\/10.1109\/TCSVT.2012.2221191","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"3845_CR40","doi-asserted-by":"publisher","first-page":"45","DOI":"10.3390\/jsan7040045","volume":"7","author":"H Djelouat","year":"2018","unstructured":"Djelouat, H., Amira, A., Bensaali, F.: Compressive sensing-based IoT applications: a review. J. Sensor Actuator Netw. 7(4), 45 (2018). https:\/\/doi.org\/10.3390\/jsan7040045","journal-title":"J. Sensor Actuator Netw."},{"issue":"4","key":"3845_CR41","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1109\/MSP.2007.4286571","volume":"24","author":"RG Baraniuk","year":"2007","unstructured":"Baraniuk, R.G.: Compressive sensing [lecture notes]. IEEE Signal Process. Mag. 24(4), 118\u2013121 (2007). https:\/\/doi.org\/10.1109\/MSP.2007.4286571","journal-title":"IEEE Signal Process. Mag."},{"issue":"8","key":"3845_CR42","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1002\/cpa.20124","volume":"59","author":"EJ Cand\u00e8s","year":"2006","unstructured":"Cand\u00e8s, E.J., Romberg, J.K., Tao, T.: Stable signal recovery from incomplete and inaccurate measurements. Commun. Pure Appl. Math. 59(8), 1207\u20131223 (2006). https:\/\/doi.org\/10.1002\/cpa.20124","journal-title":"Commun. Pure Appl. Math."},{"issue":"3","key":"3845_CR43","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s00365-007-9005-8","volume":"28","author":"S Mendelson","year":"2008","unstructured":"Mendelson, S., Pajor, A., Tomczak-Jaegermann, N.: Uniform uncertainty principle for bernoulli and subgaussian ensembles. Construct. Approx. 28(3), 277\u2013289 (2008). https:\/\/doi.org\/10.1007\/s00365-007-9005-8","journal-title":"Construct. Approx."},{"issue":"6","key":"3845_CR44","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1109\/JPROC.2010.2045630","volume":"98","author":"DL Donoho","year":"2010","unstructured":"Donoho, D.L., Tanner, J.: Precise undersampling theorems. Proc. IEEE 98(6), 913\u2013924 (2010). https:\/\/doi.org\/10.1109\/JPROC.2010.2045630","journal-title":"Proc. IEEE"},{"key":"3845_CR45","doi-asserted-by":"crossref","unstructured":"Acharya, T., Tsai, P.-S.: JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures, pp. 66\u201372. Wiley, USA (2004). Chap. 3.3.5 Coding the DCT Coefficients","DOI":"10.1002\/0471653748"},{"issue":"10","key":"3845_CR46","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1109\/83.869177","volume":"9","author":"EY Lam","year":"2000","unstructured":"Lam, E.Y., Goodman, J.W.: A mathematical analysis of the dct coefficient distributions for images. IEEE Trans. Image Process. 9(10), 1661\u20131666 (2000). https:\/\/doi.org\/10.1109\/83.869177","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"3845_CR47","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1137\/080714488","volume":"31","author":"E Van Den Berg","year":"2009","unstructured":"Van Den Berg, E., Friedlander, M.P.: Probing the pareto frontier for basis pursuit solutions. SIAM J. Sci. Comput. 31(2), 890\u2013912 (2009). https:\/\/doi.org\/10.1137\/080714488","journal-title":"SIAM J. Sci. Comput."},{"issue":"2","key":"3845_CR48","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1109\/TIT.2011.2173241","volume":"58","author":"DL Donoho","year":"2012","unstructured":"Donoho, D.L., Tsaig, Y., Drori, I., Starck, J.-L.: Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit. IEEE Trans. Inf. Theory 58(2), 1094\u20131121 (2012). https:\/\/doi.org\/10.1109\/TIT.2011.2173241","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"3","key":"3845_CR49","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.acha.2009.04.002","volume":"27","author":"T Blumensath","year":"2009","unstructured":"Blumensath, T., Davies, M.E.: Iterative hard thresholding for compressed sensing. Appl. Comput. Harmon. Anal. 27(3), 265\u2013274 (2009). https:\/\/doi.org\/10.1016\/j.acha.2009.04.002","journal-title":"Appl. Comput. Harmon. Anal."},{"key":"3845_CR50","doi-asserted-by":"publisher","unstructured":"Mun, S., Fowler, J.E.: Block compressed sensing of images using directional transforms. In: Proceedings of 16th IEEE International Conference on Image Processing (ICIP), pp. 3021\u20133024. (2009). https:\/\/doi.org\/10.1109\/ICIP.2009.5414429","DOI":"10.1109\/ICIP.2009.5414429"},{"issue":"4","key":"3845_CR51","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004). https:\/\/doi.org\/10.1109\/TIP.2003.819861","journal-title":"IEEE Trans. Image Process."},{"key":"3845_CR52","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1090\/conm\/026\/737400","volume":"26","author":"WB Johnson","year":"1984","unstructured":"Johnson, W.B., Lindenstrauss, J.: Extensions of lipschitz mappings into a Hilbert space. Contemp. Math. 26, 189\u2013206 (1984). https:\/\/doi.org\/10.1090\/conm\/026\/737400","journal-title":"Contemp. Math."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03845-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-03845-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03845-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T18:24:37Z","timestamp":1752776677000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-03845-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,3]]},"references-count":52,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["3845"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-03845-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4878610\/v1","asserted-by":"object"}]},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,3]]},"assertion":[{"value":"9 February 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}