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<\/a>Course Description<\/h3>\nThe course covers the basics of image science. This includes the theoretical and mathematical foundations of image science, as well as their application to the analysis of modern (computational) imaging systems. Concrete examples from medical imaging, industrial inspection, remote sensing, virtual reality, or microscopy will be introduced and discussed.<\/p>\n
Course Goals:<\/strong> By taking the course, students are expected to gather a broad \u201ctoolbox\u201d of basic optical, mathematical, and computational principles used in imaging science. The goal is that students can apply these tools to concrete future tasks they might face in industry or their future research.<\/p>\nStudents will be able to identify the measured object properties and how the respective imaging system collects and processes the captured data to extract the desired information. Moreover, students will learn about the analysis of imaging systems and the concept of task-based assessment of image quality.<\/p>\n
Prerequisites:<\/strong> This course is intended for graduate students in optical sciences or engineering with an appropriate mathematical background at the level of advanced calculus.<\/p>\nProgram:<\/strong> The four key parts of the course include (tentative outline):<\/p>\nPart I: Mathematical formalism of image science<\/p>\n
\n- Image formation<\/li>\n
- Objects as vectors in a vector space, image formation as a continuous to continuous or continuous to discrete mapping from an object vector space to an image vector space<\/li>\n
- Eigenfunctions, linear systems, Fourier transforms<\/li>\n<\/ul>\n
Part II: The role of optics and computation in modern imaging science<\/p>\n
\n- Indirect imaging, inverse problems, iterative algorithms<\/li>\n
- Radiometry<\/li>\n
- Geometrical optics description of imaging<\/li>\n
- Coherent and incoherent imaging, diffraction<\/li>\n
- Physical optics description and fundamental limits<\/li>\n
- Digital imaging, sampling, image detectors, displays<\/li>\n
- Image processing<\/li>\n<\/ul>\n
Part III: Modern (computational) imaging systems<\/p>\n
\n- X-ray imaging, computed tomography<\/li>\n
- Microscopy<\/li>\n
- Radar, Lidar, Time-of-Flight cameras, Non-Line-of-Sight imaging<\/li>\n
- (Multi-wavelength) Interferometry, optical coherence tomography<\/li>\n
- Sonar, ultrasound imaging<\/li>\n
- Remote sensing<\/li>\n
- Shadow casting, coded apertures<\/li>\n
- Triangulation (structured light)<\/li>\n
- Deflectometry and Photometric Stereo<\/li>\n
- Neuromorphic Imaging \/ Event Cameras<\/li>\n<\/ul>\n
Part IV: Observers and task-based image quality assessment<\/p>\n
\n- Noise in imaging systems<\/li>\n
- Classification and estimation tasks, ideal observer<\/li>\n
- Image quality, task-performance evaluation<\/li>\n<\/ul>\n
<\/p>\n
<\/a>Course Logistics<\/h3>\nClass:<\/strong> M, W 3:30 \u2013 4:45 in Meinel Building West Wing 307
Discussion\/Recitation:<\/strong> F 3:30 \u2013 4:45 in Meinel Building West Wing 305 (will be announced on weekly basis)
Material made available:<\/strong> http:\/\/d2l.arizona.edu
Instructors:<\/strong> Florian Willomitzer, Lars Furenlid
TA:<\/strong> Yifan Hong<\/p>\nContact Information Prof. Willomitzer:<\/strong>
Room:<\/strong> Meinel 629
Email:<\/strong> fwillomitzer@arizona.edu
Office hours:<\/strong> In person or via zoom. Send email to reserve a 15min slot.<\/p>\nContact Information Prof. Furenlid:<\/strong>
Room:<\/strong> Meinel 433
Email:<\/strong> furen@radiology.arizona.edu
Office hours:<\/strong> tba<\/p>\nContact Information Yifan Hong:<\/strong>
Email:<\/strong> hongyf@optics.arizona.edu
Office hours:<\/strong> Fridays 1pm-2pm, Meinel Room 554<\/p>\nGrading<\/h5>\n
Grading will based on homework assignments (6 in total), a midterm exam, and a final exam. Each of these three components will be weighted equally (Homework = 1\/3, Midterm Exam = 1\/3, Final = 1\/3). Opportunities for bonus points may occur at select times during the semester.<\/p>\n
Policy:<\/strong> Late homework will not be accepted without prior instructor approval. Students may study and work together, but homework must be completed and turned in independently. Direct plagiarism on homework assignments is not acceptable. The University\u2019s Student Code of Academic Integrity applies to this class and should be reviewed by each student. Cases of suspected academic dishonesty including plagiarism, cheating on tests or altering graded homework will be referred to the appropriate College Dean. The academic penalty for academic dishonesty is an “F” grade. Homework will only be re-graded when there is evidence of a grading error. The instructors reserve the right to re-grade an entire homework or test.<\/p>\n <\/p>\n
<\/a>Lecture and Homework Schedule<\/h3>\nScheduled lecture topics are tentative and might change while the course is ongoing. Possible changes in homework out\/due dates will be announced at least several days in advance.<\/span><\/p>\n <\/p>\n
\n\n\n\nDay<\/strong><\/p>\n<\/td>\n\nLec #<\/strong><\/p>\n<\/td>\n\nTopic<\/strong><\/p>\n<\/td>\n\nHomework<\/strong><\/p>\n<\/td>\n<\/tr>\n\n\n1\/11\/2023<\/p>\n<\/td>\n
\n1<\/p>\n<\/td>\n
\nIntroduction (course description and overview)<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/16\/2023<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n
\nMLK DAY<\/strong><\/p>\n<\/td>\n\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/18\/2023<\/p>\n<\/td>\n
\n2<\/p>\n<\/td>\n
\nImage formation, CC and CD mappings, object basis functions<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/23\/2023<\/p>\n<\/td>\n
\n3<\/p>\n<\/td>\n
\nVector spaces, eigenfunctions, linear systems, Fourier transforms<\/p>\n<\/td>\n
\nHW 1 out<\/p>\n<\/td>\n<\/tr>\n
\n\n1\/25\/2023<\/p>\n<\/td>\n
\n4<\/p>\n<\/td>\n
\nForward and inverse problems<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/30\/2023<\/p>\n<\/td>\n
\n5<\/p>\n<\/td>\n
\nPseudoinverses, regularization<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/1\/2023<\/p>\n<\/td>\n
\n6<\/p>\n<\/td>\n
\nWaves, angular spectrum, free-space propagation transfer function<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/6\/2023<\/p>\n<\/td>\n
\n7<\/p>\n<\/td>\n
\nCoherent and incoherent optical imaging, PSFs, transfer functions<\/p>\n<\/td>\n
\nHW 1 due \/ HW 2 out<\/p>\n<\/td>\n<\/tr>\n
\n\n2\/8\/2023<\/p>\n<\/td>\n
\n8<\/p>\n<\/td>\n
\nGeometrical optics imaging<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/13\/2023<\/p>\n<\/td>\n
\n9<\/p>\n<\/td>\n
\nForward Radon transform<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/15\/2023<\/p>\n<\/td>\n
\n10<\/p>\n<\/td>\n
\nInverse Radon transform<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/20\/2023<\/p>\n<\/td>\n
\n11<\/p>\n<\/td>\n
\nX-ray imaging and x-ray computed tomography<\/p>\n<\/td>\n
\nHW 2 due \/ HW 3 out<\/p>\n<\/td>\n<\/tr>\n
\n\n2\/22\/2023<\/p>\n<\/td>\n
\n12<\/p>\n<\/td>\n
\nIterative reconstruction algorithms I<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/27\/2023<\/p>\n<\/td>\n
\n13<\/p>\n<\/td>\n
\nIterative reconstruction algorithms II<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/1\/2023<\/p>\n<\/td>\n
\n14<\/p>\n<\/td>\n
\nShadow casting, coded apertures<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/6\/2023<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n
\nSPRING RECESS – no class<\/strong><\/p>\n<\/td>\n\nHW 3 due<\/p>\n<\/td>\n<\/tr>\n
\n\n3\/8\/2023<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n
\nSPRING RECESS – no class<\/strong><\/p>\n<\/td>\n\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/13\/2023<\/p>\n<\/td>\n
\n15<\/p>\n<\/td>\n
\nImage Processing I – Spatial domain<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/15\/2023<\/p>\n<\/td>\n
\n16<\/p>\n<\/td>\n
\nImage Processing II – Fourier domain<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/20\/2023<\/p>\n<\/td>\n
<\/td>\n \nMIDTERM EXAM (time tba)<\/strong><\/p>\n<\/td>\n\nHW 4 out<\/p>\n<\/td>\n<\/tr>\n
\n\n3\/22\/2023<\/p>\n<\/td>\n
\n17<\/p>\n<\/td>\n
\nThe eye, eyeglasses, magnifiers<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/27\/2023<\/p>\n<\/td>\n
\n18<\/p>\n<\/td>\n
\nOptical microscopes, Telecopes<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/29\/2023<\/p>\n<\/td>\n
\n19<\/p>\n<\/td>\n
\nNoise in imaging systems<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/3\/2023<\/p>\n<\/td>\n
\n20<\/p>\n<\/td>\n
\nRadiometry<\/p>\n<\/td>\n
\nHW 4 due \/ HW 5 out<\/p>\n<\/td>\n<\/tr>\n
\n\n4\/5\/2023<\/p>\n<\/td>\n
\n21<\/p>\n<\/td>\n
\nDigital images, image detectors, displays<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/10\/2023<\/p>\n<\/td>\n
\n22<\/p>\n<\/td>\n
\nPhotometric Stereo<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/12\/2023<\/p>\n<\/td>\n
\n23<\/p>\n<\/td>\n
\n(Multi-wavelength) Interferometry, optical coherence tomography<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/17\/2023<\/p>\n<\/td>\n
\n24<\/p>\n<\/td>\n
\nRADAR, SONAR, Ultrasound<\/p>\n<\/td>\n
\nHW 5 due \/ HW 6 out<\/p>\n<\/td>\n<\/tr>\n
\n\n4\/19\/2023<\/p>\n<\/td>\n
\n25<\/p>\n<\/td>\n
\nTime-of-Flight cameras, Lidar, Non-Line-of-Sight imaging<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/24\/2023<\/p>\n<\/td>\n
\n26<\/p>\n<\/td>\n
\nTriangulation (structured light)<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/26\/2023<\/p>\n<\/td>\n
\n27<\/p>\n<\/td>\n
\nDeflectometry<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n5\/1\/2023<\/p>\n<\/td>\n
\n28<\/p>\n<\/td>\n
\nNeuromorphic Imaging \/ Event Cameras<\/p>\n<\/td>\n
\nHW 6 due<\/p>\n<\/td>\n<\/tr>\n
\n\n5\/3\/2023<\/p>\n<\/td>\n
\n29<\/p>\n<\/td>\n
\nImage quality, task-based assessment<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\nTue<\/strong> 5\/9\/2023<\/p>\n<\/td>\n\n <\/p>\n<\/td>\n
\nFINAL EXAM 3:30pm-5:30pm<\/strong><\/p>\n<\/td>\n\n <\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Introduction to Image Science, Spring 2023 Jump to: Course Description | CourseLogistics | Lecture and Homework Schedule<\/p>\n","protected":false},"author":246,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-58","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/58","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/users\/246"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":2,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":60,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/58\/revisions\/60"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/media?parent=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Students will be able to identify the measured object properties and how the respective imaging system collects and processes the captured data to extract the desired information. Moreover, students will learn about the analysis of imaging systems and the concept of task-based assessment of image quality.<\/p>\n
Prerequisites:<\/strong> This course is intended for graduate students in optical sciences or engineering with an appropriate mathematical background at the level of advanced calculus.<\/p>\n Program:<\/strong> The four key parts of the course include (tentative outline):<\/p>\n Part I: Mathematical formalism of image science<\/p>\n Part II: The role of optics and computation in modern imaging science<\/p>\n Part III: Modern (computational) imaging systems<\/p>\n Part IV: Observers and task-based image quality assessment<\/p>\n <\/p>\n Class:<\/strong> M, W 3:30 \u2013 4:45 in Meinel Building West Wing 307 Contact Information Prof. Willomitzer:<\/strong> Contact Information Prof. Furenlid:<\/strong> Contact Information Yifan Hong:<\/strong> Grading will based on homework assignments (6 in total), a midterm exam, and a final exam. Each of these three components will be weighted equally (Homework = 1\/3, Midterm Exam = 1\/3, Final = 1\/3). Opportunities for bonus points may occur at select times during the semester.<\/p>\n Policy:<\/strong> Late homework will not be accepted without prior instructor approval. Students may study and work together, but homework must be completed and turned in independently. Direct plagiarism on homework assignments is not acceptable. The University\u2019s Student Code of Academic Integrity applies to this class and should be reviewed by each student. Cases of suspected academic dishonesty including plagiarism, cheating on tests or altering graded homework will be referred to the appropriate College Dean. The academic penalty for academic dishonesty is an “F” grade. Homework will only be re-graded when there is evidence of a grading error. The instructors reserve the right to re-grade an entire homework or test.<\/p>\n <\/p>\n Scheduled lecture topics are tentative and might change while the course is ongoing. Possible changes in homework out\/due dates will be announced at least several days in advance.<\/span><\/p>\n <\/p>\n Day<\/strong><\/p>\n<\/td>\n Lec #<\/strong><\/p>\n<\/td>\n Topic<\/strong><\/p>\n<\/td>\n Homework<\/strong><\/p>\n<\/td>\n<\/tr>\n 1\/11\/2023<\/p>\n<\/td>\n 1<\/p>\n<\/td>\n Introduction (course description and overview)<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/16\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n MLK DAY<\/strong><\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/18\/2023<\/p>\n<\/td>\n 2<\/p>\n<\/td>\n Image formation, CC and CD mappings, object basis functions<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/23\/2023<\/p>\n<\/td>\n 3<\/p>\n<\/td>\n Vector spaces, eigenfunctions, linear systems, Fourier transforms<\/p>\n<\/td>\n HW 1 out<\/p>\n<\/td>\n<\/tr>\n 1\/25\/2023<\/p>\n<\/td>\n 4<\/p>\n<\/td>\n Forward and inverse problems<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/30\/2023<\/p>\n<\/td>\n 5<\/p>\n<\/td>\n Pseudoinverses, regularization<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/1\/2023<\/p>\n<\/td>\n 6<\/p>\n<\/td>\n Waves, angular spectrum, free-space propagation transfer function<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/6\/2023<\/p>\n<\/td>\n 7<\/p>\n<\/td>\n Coherent and incoherent optical imaging, PSFs, transfer functions<\/p>\n<\/td>\n HW 1 due \/ HW 2 out<\/p>\n<\/td>\n<\/tr>\n 2\/8\/2023<\/p>\n<\/td>\n 8<\/p>\n<\/td>\n Geometrical optics imaging<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/13\/2023<\/p>\n<\/td>\n 9<\/p>\n<\/td>\n Forward Radon transform<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/15\/2023<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n Inverse Radon transform<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/20\/2023<\/p>\n<\/td>\n 11<\/p>\n<\/td>\n X-ray imaging and x-ray computed tomography<\/p>\n<\/td>\n HW 2 due \/ HW 3 out<\/p>\n<\/td>\n<\/tr>\n 2\/22\/2023<\/p>\n<\/td>\n 12<\/p>\n<\/td>\n Iterative reconstruction algorithms I<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/27\/2023<\/p>\n<\/td>\n 13<\/p>\n<\/td>\n Iterative reconstruction algorithms II<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/1\/2023<\/p>\n<\/td>\n 14<\/p>\n<\/td>\n Shadow casting, coded apertures<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/6\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n SPRING RECESS – no class<\/strong><\/p>\n<\/td>\n HW 3 due<\/p>\n<\/td>\n<\/tr>\n 3\/8\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n SPRING RECESS – no class<\/strong><\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/13\/2023<\/p>\n<\/td>\n 15<\/p>\n<\/td>\n Image Processing I – Spatial domain<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/15\/2023<\/p>\n<\/td>\n 16<\/p>\n<\/td>\n Image Processing II – Fourier domain<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/20\/2023<\/p>\n<\/td>\n MIDTERM EXAM (time tba)<\/strong><\/p>\n<\/td>\n HW 4 out<\/p>\n<\/td>\n<\/tr>\n 3\/22\/2023<\/p>\n<\/td>\n 17<\/p>\n<\/td>\n The eye, eyeglasses, magnifiers<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/27\/2023<\/p>\n<\/td>\n 18<\/p>\n<\/td>\n Optical microscopes, Telecopes<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/29\/2023<\/p>\n<\/td>\n 19<\/p>\n<\/td>\n Noise in imaging systems<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/3\/2023<\/p>\n<\/td>\n 20<\/p>\n<\/td>\n Radiometry<\/p>\n<\/td>\n HW 4 due \/ HW 5 out<\/p>\n<\/td>\n<\/tr>\n 4\/5\/2023<\/p>\n<\/td>\n 21<\/p>\n<\/td>\n Digital images, image detectors, displays<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/10\/2023<\/p>\n<\/td>\n 22<\/p>\n<\/td>\n Photometric Stereo<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/12\/2023<\/p>\n<\/td>\n 23<\/p>\n<\/td>\n (Multi-wavelength) Interferometry, optical coherence tomography<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/17\/2023<\/p>\n<\/td>\n 24<\/p>\n<\/td>\n RADAR, SONAR, Ultrasound<\/p>\n<\/td>\n HW 5 due \/ HW 6 out<\/p>\n<\/td>\n<\/tr>\n 4\/19\/2023<\/p>\n<\/td>\n 25<\/p>\n<\/td>\n Time-of-Flight cameras, Lidar, Non-Line-of-Sight imaging<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/24\/2023<\/p>\n<\/td>\n 26<\/p>\n<\/td>\n Triangulation (structured light)<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/26\/2023<\/p>\n<\/td>\n 27<\/p>\n<\/td>\n Deflectometry<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 5\/1\/2023<\/p>\n<\/td>\n 28<\/p>\n<\/td>\n Neuromorphic Imaging \/ Event Cameras<\/p>\n<\/td>\n HW 6 due<\/p>\n<\/td>\n<\/tr>\n 5\/3\/2023<\/p>\n<\/td>\n 29<\/p>\n<\/td>\n Image quality, task-based assessment<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n Tue<\/strong> 5\/9\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n FINAL EXAM 3:30pm-5:30pm<\/strong><\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Introduction to Image Science, Spring 2023 Jump to: Course Description | CourseLogistics | Lecture and Homework Schedule<\/p>\n","protected":false},"author":246,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-58","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/58","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/users\/246"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":2,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":60,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/58\/revisions\/60"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/media?parent=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
\n
\n
\n
<\/a>Course Logistics<\/h3>\n
Discussion\/Recitation:<\/strong> F 3:30 \u2013 4:45 in Meinel Building West Wing 305 (will be announced on weekly basis)
Material made available:<\/strong> http:\/\/d2l.arizona.edu
Instructors:<\/strong> Florian Willomitzer, Lars Furenlid
TA:<\/strong> Yifan Hong<\/p>\n
Room:<\/strong> Meinel 629
Email:<\/strong> fwillomitzer@arizona.edu
Office hours:<\/strong> In person or via zoom. Send email to reserve a 15min slot.<\/p>\n
Room:<\/strong> Meinel 433
Email:<\/strong> furen@radiology.arizona.edu
Office hours:<\/strong> tba<\/p>\n
Email:<\/strong> hongyf@optics.arizona.edu
Office hours:<\/strong> Fridays 1pm-2pm, Meinel Room 554<\/p>\nGrading<\/h5>\n
<\/a>Lecture and Homework Schedule<\/h3>\n
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