{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:24:37Z","timestamp":1743135877399,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319715971"},{"type":"electronic","value":"9783319715988"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-71598-8_1","type":"book-chapter","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T01:26:32Z","timestamp":1514510792000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Double Recursion Algorithm to Image Restoration from Random Limited Frequency Data"],"prefix":"10.1007","author":[{"given":"Xiaoman","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jijun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,30]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-1740-8","volume-title":"Regularization of Inverse Problems","author":"HW Engl","year":"1996","unstructured":"Engl, H.W., Hanke, M., Neubauer, A.: Regularization of Inverse Problems. Kluwer Academic Publishers, Dordrecht (1996)"},{"key":"1_CR2","volume-title":"The Total Variation Model and Numerical Methods for Image Restoration","author":"YY Shi","year":"2013","unstructured":"Shi, Y.Y., Yang, X., Chang, Q.: The Total Variation Model and Numerical Methods for Image Restoration. Science Press, Beijing (2013)"},{"key":"1_CR3","volume-title":"The Application on Image Inpainting with Beyond Wavelets and Variation Analysis","author":"C Xu","year":"2013","unstructured":"Xu, C.: The Application on Image Inpainting with Beyond Wavelets and Variation Analysis. Science Press, Beijing (2013)"},{"key":"1_CR4","volume-title":"Partial Differential Equation on Image Processing and Program Design","author":"Y Jia","year":"2012","unstructured":"Jia, Y., Liu, P., Niu, S.: Partial Differential Equation on Image Processing and Program Design. Science Press, Beijing (2012)"},{"key":"1_CR5","doi-asserted-by":"publisher","first-page":"1948","DOI":"10.1137\/S003614299529230X","volume":"34","author":"A Gills","year":"1997","unstructured":"Gills, A., Luminita, V.: A variational method in image recovery. SIAM J. Numer. Anal. 34, 1948\u20131979 (1997)","journal-title":"SIAM J. Numer. Anal."},{"key":"1_CR6","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1515\/jiip-2013-0046","volume":"23","author":"YG Zhu","year":"2015","unstructured":"Zhu, Y.G., Liu, X.M.: A fast method for L1\u2013L2 modeling for MR image compressive sensing. J. Inverse Ill-posed Prob. 23, 211\u2013218 (2015)","journal-title":"J. Inverse Ill-posed Prob."},{"key":"1_CR7","first-page":"264","volume":"223","author":"XD Wang","year":"2013","unstructured":"Wang, X.D., Feng, X., Wang, W., Zhang, W.: Iterative reweighted total generalized variation based poisson noise removal model. Appl. Math. Comput. 223, 264\u2013277 (2013)","journal-title":"Appl. Math. Comput."},{"key":"1_CR8","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"E Candes","year":"2006","unstructured":"Candes, E., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52, 489\u2013509 (2006)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"1_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, 1289\u20131306 (2006)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"1_CR10","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898717570","volume-title":"Computational Methods for Inverse Problems","author":"CR Vogel","year":"2002","unstructured":"Vogel, C.R.: Computational Methods for Inverse Problems. SIAM Frontiers in Applied Mathematics, Philadephia (2002)"},{"key":"1_CR11","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1109\/TSP.2016.2614654","volume":"65","author":"B Shahrasbi","year":"2017","unstructured":"Shahrasbi, B., Rahnavard, N.: Model-based nonuniform compressive sampling and recovery of natural images utilizing a wavelet-domain universal hidden Markov model. IEEE Trans. Sign. Process. 65, 95\u2013104 (2017)","journal-title":"IEEE Trans. Sign. Process."},{"key":"1_CR12","first-page":"1","volume":"2","author":"XM Liu","year":"2014","unstructured":"Liu, X.M., Zhu, Y.G.: A fast method for TV-L1-MRI image reconstruction in compressive sensing. J. Comput. Inf. System. 2, 1\u20139 (2014)","journal-title":"J. Comput. Inf. System."},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1137\/070703983","volume":"1","author":"WT Yin","year":"2008","unstructured":"Yin, W.T., Osher, S., Goldfarb, D., Darbon, J.: Bregman iterative algorithms for L1-minimization with applications to compressed sensing. SIAM J. Imag. Sci. 1, 143\u2013168 (2008)","journal-title":"SIAM J. Imag. Sci."},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/0041-5553(67)90040-7","volume":"7","author":"L Bregman","year":"1967","unstructured":"Bregman, L.: The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming. USSR Comput. Math. Math. Phy. 7, 200\u2013217 (1967)","journal-title":"USSR Comput. Math. Math. Phy."},{"key":"1_CR15","volume-title":"Theory and Algorithms of Optimization","author":"BL Chen","year":"2005","unstructured":"Chen, B.L.: Theory and Algorithms of Optimization, 2nd edn. Tsinghua University Publishing, Beijing (2005)","edition":"2"},{"key":"1_CR16","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1137\/0917016","volume":"17","author":"CR Vogel","year":"1996","unstructured":"Vogel, C.R., Oman, M.E.: Iterative methods for total variation denoising. SIAM J. Sci. Comput. 17, 227\u2013238 (1996)","journal-title":"SIAM J. Sci. Comput."},{"key":"1_CR17","volume-title":"Digital Image Processing","author":"M Yao","year":"2006","unstructured":"Yao, M.: Digital Image Processing. China Machine Press, Beijing (2006)"},{"key":"1_CR18","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1137\/S1064827598341384","volume":"21","author":"M Ng","year":"1999","unstructured":"Ng, M., Chan, R., Tang, W.: A fast algorithm for deblurring models with Neumann boundary conditions. SIAM J. Sci. Comput. 21, 851\u2013866 (1999)","journal-title":"SIAM J. Sci. Comput."}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-71598-8_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T08:18:08Z","timestamp":1693383488000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-71598-8_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319715971","9783319715988"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-71598-8_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"30 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/10times.com\/icig-sa","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}