{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:24:57Z","timestamp":1729664697855,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1109\/aipr.2014.7041901","type":"proceedings-article","created":{"date-parts":[[2015,2,17]],"date-time":"2015-02-17T19:21:38Z","timestamp":1424200898000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Multi-resolution deblurring"],"prefix":"10.1109","author":[{"given":"Michael J.","family":"McLaughlin","sequence":"first","affiliation":[]},{"given":"En-Ui","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Erik","family":"Blasch","sequence":"additional","affiliation":[]},{"given":"Adnan","family":"Bubalo","sequence":"additional","affiliation":[]},{"given":"Maria","family":"Cornacchia","sequence":"additional","affiliation":[]},{"given":"Mark","family":"Alford","sequence":"additional","affiliation":[]},{"given":"Millicent","family":"Thomas","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","article-title":"No-reference Objective Blur Metric Based on the Notion of Wavelet Gradient, Magnitude Edge Width","author":"ezekiel","year":"2014","journal-title":"Proc IEEE Nat Aerospace Electronics Conf (NAECON)"},{"key":"ref30","article-title":"Visual Tracking based on Log-Euclidean Riemannian Sparse Representation","author":"wu","year":"2011","journal-title":"Int Symp on Adv in Visual Computing - Lecture Notes in Computer Science"},{"key":"ref10","article-title":"Multiple Kernel Learning for Vehicle Detection in Wide Area Motion Imagery","author":"liang","year":"2012","journal-title":"Int Conf on Info Fusion"},{"key":"ref11","article-title":"Vehicle Detection in Wide Area Aerial Surveillance using Temporal Context","author":"liang","year":"2013","journal-title":"Int'l Conf on Info Fusion"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2255301"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.3390\/s141019843","article-title":"Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance","author":"hammoud","year":"2014","journal-title":"SENSORS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2008.4806563"},{"key":"ref15","article-title":"Estimating an Image's Blur Kernel from Edge Intensity Profiles","author":"smith","year":"2012","journal-title":"Naval Research Laboratory"},{"key":"ref16","article-title":"A Comparative Study of Image Restoration Algorithms using Images from different areas of imaging","volume":"4","author":"bharali","year":"2013","journal-title":"International Journal of Advanced Research in Computer Science"},{"key":"ref17","article-title":"No-Reference Image Quality Assessment using Blur and Noise","volume":"3","author":"choi","year":"2009","journal-title":"International Journal of Electrical and Electronics Engineering"},{"key":"ref18","article-title":"No-reference Objective Blur Metric Based on the Notion of Wavelet Gradient, Magnitude Edge Width","author":"ezekiel","year":"2014","journal-title":"IEEE Nat Aerospace Electronics Conf"},{"key":"ref19","article-title":"Reducing the Gaussian Blur Artifact from CT Medical Images by Employing a Combination of Sharpening Filters and Iterative Deblurring Algorithms","volume":"46","author":"al-ameen","year":"2012","journal-title":"Journal of Theoretical and Applied Information Technology"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2014.7045801"},{"key":"ref4","article-title":"A No Reference Image Blur Detection Using Cumulative probability Blur Detection (CPBD) Metric","volume":"1","author":"bohr","year":"2013","journal-title":"International Journal of Science and Modern Engineering"},{"key":"ref27","article-title":"Digital Image Processing","author":"gonzalez","year":"2008","journal-title":"Pearson Education Inc"},{"key":"ref3","article-title":"Motion Blur Identification from Image Gradients","author":"ji","year":"2008","journal-title":"IEEE"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01894.x"},{"key":"ref29","article-title":"No-reference Blur Metric using Double-Density and Dual-Tree Two-Dimensional Wavelet Transformation","author":"ezekiel","year":"2014","journal-title":"Proc IEEE Nat Aerospace Electronics Conf (NAECON)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4304\/jcp.9.4.896-902"},{"key":"ref8","article-title":"Image Quality Measures for Predicting Automatic Target Recognition Performance","author":"chen","year":"2008","journal-title":"IEEE Aerospace Conference"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2009.5426624"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.392"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2005.1591865"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5413545"},{"key":"ref20","article-title":"Blur-Resilient Tracking Using Group Sparsity","author":"liang","year":"2014","journal-title":"Asian Conf Computer Vision (ACCV)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/365021"},{"key":"ref21","first-page":"7","article-title":"A Comparative Study and Analysis of Image Restoration Techniques Using Different Images Formats","volume":"2","author":"kaur","year":"2012","journal-title":"International Journal for Science and Emerging Technologies with Latest Trends"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/79.489268"},{"key":"ref23","article-title":"Improvement of the Range Compression in SAR Image Reconstruction","volume":"81","author":"shirakawa","year":"1998","journal-title":"Electronics and Communications in Japan Part 1"},{"key":"ref26","article-title":"Statistical Analysis of the Performance Assessment Results for Pixel-Level Image Fusion","author":"liu","year":"2014","journal-title":"Int Conf on Info Fusion"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.109"}],"event":{"name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","start":{"date-parts":[[2014,10,14]]},"location":"Washington, DC, USA","end":{"date-parts":[[2014,10,16]]}},"container-title":["2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7029842\/7041894\/07041901.pdf?arnumber=7041901","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T01:45:39Z","timestamp":1498182339000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7041901\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/aipr.2014.7041901","relation":{},"subject":[],"published":{"date-parts":[[2014,10]]}}}