{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:25Z","timestamp":1750220245919,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,12]],"date-time":"2021-11-12T00:00:00Z","timestamp":1636675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,12]]},"DOI":"10.1145\/3502827.3502842","type":"proceedings-article","created":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T23:28:04Z","timestamp":1643326084000},"page":"62-67","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Blind Image Restoration with Defocus Blur by Estimating Point Spread Function in Frequency Domain"],"prefix":"10.1145","author":[{"given":"Fengqing","family":"Qin","sequence":"first","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaorong","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lilan","family":"Cao","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuyan","family":"Zou","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaomei","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yilan","family":"Xue","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence and Big Data, Yibin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,27]]},"reference":[{"volume-title":"Deconvolution and Signal Recovery","author":"Zou M.Y.","key":"e_1_3_2_1_1_1","unstructured":"M.Y. Zou . 2004. Deconvolution and Signal Recovery . Defense Industry Publishing . M.Y. Zou. 2004. Deconvolution and Signal Recovery.Defense Industry Publishing."},{"volume-title":"Research on Image Denoising and Restoration Method","author":"Wang X.Y.","key":"e_1_3_2_1_2_1","unstructured":"X.Y. Wang . 2017. Research on Image Denoising and Restoration Method . China Industry and Information Technology Publishing Group . X.Y. Wang. 2017. Research on Image Denoising and Restoration Method.China Industry and Information Technology Publishing Group."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2717489"},{"key":"e_1_3_2_1_4_1","unstructured":"K. Alpaslan and G.Albert. 2019. Design and evaluation of an accurate CNR-guided small region iterative restoration-based tumor segmentation scheme for PET using both simulated and real heterogeneous tumors. Medical & Biological Engineering & Computing.  K. Alpaslan and G.Albert. 2019. Design and evaluation of an accurate CNR-guided small region iterative restoration-based tumor segmentation scheme for PET using both simulated and real heterogeneous tumors. Medical & Biological Engineering & Computing."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00699"},{"key":"e_1_3_2_1_6_1","first-page":"0","article-title":"Video super-resolution reconstruction based on sub-pixel registration and iterative back projection","volume":"18","author":"Qin F.-Q.","year":"2009","unstructured":"F.-Q. Qin , X.-H. He , W.-L. Chen , X.-M. Yang and W. Wu . 2009 . Video super-resolution reconstruction based on sub-pixel registration and iterative back projection . Journal of Electronic Imaging. vol. 18 ,A1, 0 - 11 . F.-Q. Qin, X.-H. He, W.-L. Chen, X.-M. Yang and W. Wu. 2009. Video super-resolution reconstruction based on sub-pixel registration and iterative back projection. Journal of Electronic Imaging. vol.18,A1,0-11.","journal-title":"Journal of Electronic Imaging."},{"volume-title":"Sichuan University","author":"Lu C.H.","key":"e_1_3_2_1_7_1","unstructured":"C.H. Lu , X.H. He , and Q.C. Tao . 2017. Min.Zhang. Research on Parameter Estimation Algorithm of Gaussian Point Spread Function in Image Restoration . Sichuan University . Vol. 43 , A10, 31-34. C.H.Lu, X.H. He, and Q.C.Tao. 2017. Min.Zhang.Research on Parameter Estimation Algorithm of Gaussian Point Spread Function in Image Restoration. Sichuan University. Vol.43, A10, 31-34."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/58.658327"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1006\/gmip.1997.0435"},{"key":"e_1_3_2_1_10_1","unstructured":"Lokhande R Arya K V and Gupta P. 2016. Identification of parameters and restoration of defocus blurred images.Dijon France2. Vol.12 2-10.  Lokhande R Arya K V and Gupta P. 2016. Identification of parameters and restoration of defocus blurred images.Dijon France2. Vol.12 2-10."},{"key":"e_1_3_2_1_11_1","first-page":"55","article-title":"Deblurring of defocus blurred images using histogram of oriented gradients and geometric moments","author":"Kumar Ahlad","year":"2018","unstructured":"Ahlad Kumar . 2018 . Deblurring of defocus blurred images using histogram of oriented gradients and geometric moments . Signal Processing: Image Communication. 55 - 65 . Ahlad Kumar. 2018. Deblurring of defocus blurred images using histogram of oriented gradients and geometric moments. Signal Processing: Image Communication. 55-65.","journal-title":"Signal Processing: Image Communication."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1177352.1177355"},{"volume-title":"5th International Congress on Image and Signal Processing (CISP).","author":"Qin Fengqing","key":"e_1_3_2_1_13_1","unstructured":"Fengqing Qin .2012. Blind image restoration based on Wiener filtering and defocus point spread function estimation . 5th International Congress on Image and Signal Processing (CISP). Fengqing Qin.2012. Blind image restoration based on Wiener filtering and defocus point spread function estimation. 5th International Congress on Image and Signal Processing (CISP)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"L Bar N Sochen N Kiryati.2017.Blind Space-Variant Single-Image Restoration of Defocus Blur.6th International Conference on SSVM.  L Bar N Sochen N Kiryati.2017.Blind Space-Variant Single-Image Restoration of Defocus Blur.6th International Conference on SSVM.","DOI":"10.1007\/978-3-319-58771-4_9"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Yin Shi-Bai \u00a0Wang Wei-Xing \u00a0Wang Yi-Bin \u00a0Li Da-Peng \u00a0Deng Zhen. 2016. Fast Bayesian blind restoration for single defocus image with iterative joint bilateral filters.Acta Physica Sinica.\u00a065(23): 234202.  Yin Shi-Bai \u00a0Wang Wei-Xing \u00a0Wang Yi-Bin \u00a0Li Da-Peng \u00a0Deng Zhen. 2016. Fast Bayesian blind restoration for single defocus image with iterative joint bilateral filters.Acta Physica Sinica.\u00a065(23): 234202.","DOI":"10.7498\/aps.65.234202"}],"event":{"name":"ICAIP 2021: 2021 5th International Conference on Advances in Image Processing","acronym":"ICAIP 2021","location":"Chengdu China"},"container-title":["2021 5th International Conference on Advances in Image Processing (ICAIP)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3502827.3502842","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3502827.3502842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:34Z","timestamp":1750188634000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3502827.3502842"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,12]]},"references-count":15,"alternative-id":["10.1145\/3502827.3502842","10.1145\/3502827"],"URL":"https:\/\/doi.org\/10.1145\/3502827.3502842","relation":{},"subject":[],"published":{"date-parts":[[2021,11,12]]},"assertion":[{"value":"2022-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}