{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:46:07Z","timestamp":1742989567282,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":8,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811623356"},{"type":"electronic","value":"9789811623363"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-981-16-2336-3_43","type":"book-chapter","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T16:17:17Z","timestamp":1620145037000},"page":"457-463","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Image Quality Assessment with Local Contrast Estimator"],"prefix":"10.1007","author":[{"given":"Yulian","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,5]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","first-page":"1864","DOI":"10.1587\/transinf.E97.D.1864","volume":"7","author":"D Bong","year":"2014","unstructured":"Bong, D., Khoo, B.: An efficient and training-free blind image blur assessment in the spatial domain. IEICE Trans. Inf. Syst. 7, 1864\u20131871 (2014)","journal-title":"IEICE Trans. Inf. Syst."},{"issue":"5","key":"43_CR2","doi-asserted-by":"publisher","first-page":"1873","DOI":"10.1109\/JSEN.2018.2884760","volume":"19","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Ren, S., Dong, F.: A transformation-domain image reconstruction method for open electrical impedance tomography based on conformal mapping. IEEE Sens. J. 19(5), 1873\u20131883 (2019)","journal-title":"IEEE Sens. J."},{"issue":"6","key":"43_CR3","doi-asserted-by":"publisher","first-page":"7079","DOI":"10.1364\/OE.26.007079","volume":"26","author":"CW Chow","year":"2018","unstructured":"Chow, C.W., Shi, R.J., Liu, Y.C., et al.: Non-flickering 100\u00a0m RGB visible light communication transmission based on a CMOS image sensor. Opt. Express 26(6), 7079 (2018)","journal-title":"Opt. Express"},{"issue":"25","key":"43_CR4","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.neucom.2019.03.067","volume":"351","author":"H Xie","year":"2019","unstructured":"Xie, H., Lei, H., He, Y., et al.: Deeply supervised full convolution network for HEp-2 specimen image segmentation. Neurocomputing 351(25), 77\u201386 (2019)","journal-title":"Neurocomputing"},{"key":"43_CR5","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1587\/transinf.2015EDL8204","volume":"3","author":"L Li","year":"2016","unstructured":"Li, L., Zhou, Y., Wu, J., Qian, J., Chen, B.: Color-enriched gradient similarity for retouched image quality evaluation. IEICE Trans. Inf. Syst. 3, 773\u2013776 (2016)","journal-title":"IEICE Trans. Inf. Syst."},{"issue":"4","key":"43_CR6","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1109\/LSP.2014.2304714","volume":"21","author":"J Wu","year":"2014","unstructured":"Wu, J., Lin, W., Shi, G.: Image quality assessment with degradation on spatial structure. IEEE Signal Proc. Lett. 21(4), 437\u2013440 (2014)","journal-title":"IEEE Signal Proc. Lett."},{"issue":"7","key":"43_CR7","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1109\/LSP.2012.2199980","volume":"19","author":"V Phong","year":"2012","unstructured":"Phong, V., Damon, M.C.: A fast wavelet-based algorithm for global and local image sharpness estimation. IEEE Signal Proc Lett. 19(7), 423\u2013426 (2012)","journal-title":"IEEE Signal Proc Lett."},{"issue":"12","key":"43_CR8","doi-asserted-by":"publisher","first-page":"5684","DOI":"10.1109\/TIP.2015.2479559","volume":"24","author":"Q Gao","year":"2015","unstructured":"Gao, Q., Wang, Q., Huang, Y., Gao, X., Hong, X., Zhang, H.: Dimensionality reduction by integrating sparse representation and fisher criterion and its application. IEEE Trans. Image Process. 24(12), 5684\u20135695 (2015)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Communications in Computer and Information Science","Cognitive Systems and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-2336-3_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T16:53:52Z","timestamp":1620147232000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-2336-3_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811623356","9789811623363"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-2336-3_43","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cognitive Systems and Signal Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhuhai","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iccsip2020.caai.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"120","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}