Image Quality and System Performance XIV Conference Program
Monday January 30, 2017
No Reference Quality Measurement
Session Chair:
Robin Jenkin, ON Semiconductor (United States)
8:50 – 10:10 AM
Harbour A,B
8:50IQSP-218
Blind image quality assessment using multiscale local binary patterns (JIST-first), Pedro Garcia Freitas, Welington Y. L. Akamine, and Mylène C. Q. Farias, University of Brasilia (Brazil)
9:10IQSP-219
Dimension reduction-based attributes selection in no-reference learning-based image quality algorithms, Christophe Charrier1, Abdelhakim Saadane2, and Christine Fernandez Maloigne3; 1Normandie University, 2Université de Nantes, and 3Université de Poitiers (France)
9:30IQSP-220
GPGPU based implementation of a high performing No Reference (NR)- IQA algorithm, BLIINDS-II, Aman Yadav1, Sohum Sohoni1, and Damon Chandler2; 1Arizona State University (United States) and 2Shizuoka University (Japan)
9:50IQSP-221
No-reference image contrast assessment based on just-noticeable-difference, Minsub Kim, Ki Sun Song, and Moon Gi Kang, Yonsei University (Republic of Korea)
10:10 – 10:50 AM Coffee Break
KEYNOTE: Automated Video Quality Measurement and Application
Session Chair: Elaine Jin, Google Inc. (United States)
10:50 – 11:30 AM
Harbour A,B
IQSP-222
How to use video quality metrics for something other than video compression, Anil Kokaram, Google/YouTube (United States)
 Anil Kokaram is the Engineering Manager for the media algorithms team in YouTube. The team is responsible for developing video processing algorithms for quality improvement in various pipelines. Kokaram is also a Professor at Trinity College Dublin, Ireland and continues to supervise a small number of students at www.sigmedia.tv in the EE Dept there. His main expertise is in the broad areas of DSP for Video Processing, Bayesian Inference, and motion estimation. He has published more than 100 refereed papers in these areas. In 2007 he was awarded a Science and Engineering Academy Award for his work in video processing for post-production applications. He was founder of a company (GreenParrotPictures) producing video enhancement software that was acquired by Google in 2011. He is a former Associate Editor of the IEEE Transactions on CCts and Systems for Video Technology and IEEE Transactions on Image Processing. |
Machine Learning and Implementation of Quality Metrics
Session Chair:
Elaine Jin, Google Inc. (United States)
11:30 AM – 12:30 PM
Harbour A,B
11:30IQSP-223
MS-UNIQUE: Multi-model and sharpness-weighted unsupervised image quality estimation, Mohit Prabhushankar, Dogancan Temel, and Ghassan AlRegib, Georgia Institute of Technology (United States)
11:50IQSP-224
Microarchitectural analysis of a GPU implementation of the most apparent distortion image quality assessment algorithm, Vignesh Kannan1, Joshua Holloway1, Sohum Sohoni1, and Damon Chandler2; 1Arizona State University (United States) and 2Shizuoka University (Japan)
12:10IQSP-225
Image quality assessment by comparing CNN features between images (JIST-first), Seyed Ali Amirshahi1, Marius Pedersen2, and Stella X. Yu1; 1University of California, Berkeley (United States) and 2Norwegian University of Science and Technology (Norway)
12:30 – 2:00 PM Lunch Break
EI 2017 Opening Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
Giga-scale 3D computational microscopy, Laura Waller, University of California, Berkeley (United States)
Laura Waller is the Ted Van Duzer Endowed Assistant Professor of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley. She is a Senior Fellow at the Berkeley Institute of Data Science, and received her BS (2004), MEng (2005), and PhD (2010) in EECS from the Massachusetts Institute of Technology (MIT). Waller's talk is on computational imaging methods for fast capture of gigapixel-scale 3D intensity and phase images in a commercial microscope that employs illumination-side and detection-side coding of angle (Fourier) space with simple hardware and fast acquisition. The result is high-resolution reconstructions across a large field-of-view, achieving high space-bandwith-time product.
3:00 – 3:30 PM Coffee Break
Novel Tools
Session Chair:
Luke Cui, Amazon (United States)
3:30 – 4:50 PM
Harbour A,B
3:30IQSP-226
Potential contrast - A new image quality measure, Arie Shaus, Shira Faigenbaum-Golovin, Barak Sober, Eli Turkel, Tel Aviv University (Israel)
3:50IQSP-227
Observer calibrator for color vision research, Zhen Zhou, Ben Grotton, Kevin Kruse, Alex Skinner, Anthony DoVale, Susan Farnand, and Mark Fairchild, Rochester Institute of Technology (United States)
4:10IQSP-228
Knowledge based taxonomic scheme for full reference objective image quality measurement models (JIST-first), Atidel Lahoulou1, Mohamed Chaker Larabi2, Azeddine Beghdadi3, Emmanuel Viennet3, and Ahmed Bouridane4; 1University of Jijel (Algeria), 2Université de Poitiers (France), 3Université Paris 13 (France), and 4Northumbria University (United Kingdom)
4:30IQSP-229
A RGB/NIR data set for evaluating dehazing algorithms, Julia Lüthen1, Julian Wörmann2, Martin Kleinsteuber2, and Johannes Steurer1; 1ARRI Cinetechnik and 2Technische University München (Germany)
5:00 – 6:00 PM All-Conference Welcome Reception, Atrium
Tuesday January 31, 2017
KEYNOTE: Mobile Device Camera IQ
Session Chairs: Susan Farnand, Rochester Institute of Technology, and Jackson Roland, Apple Inc. (United States)
8:50 – 9:20 AM
Grand Peninsula Ballroom A
This session is jointly sponsored by: Image Quality and System Performance XIV and Digital Photography and Mobile Imaging XIII.
IQSP-249
Towards the development of the IEEE P1858 CPIQ standard – A validation study, Elaine Jin1, Jonathan Phillips1, Susan Farnand2, Margaret Belska3, Vinh Tran3, Ed Chang1, Yixuan Wang3, and Benjamin Tseng4; 1Google Inc. (United States), 2Rochester Institute of Technology (United States), 3NVIDIA (United States), and 4Apkudo (Australia)
 Elaine W. Jin holds a PhD in optical engineering from Zhejiang University in China, and a PhD in psychology from the University of Chicago. She has worked in the imaging industry for 15+ years including employment at Polaroid Corporation, Eastman Kodak Company, Micron Technologies, Aptina Imaging, Marvell Semiconductors, and Intel Corporation. She currently is a staff image scientist at Google, working on developing cutting-edge consumer hardware products. Her primary research interests include imaging systems design and analysis, color imaging, and psychophysics. She has published 22 journal and conference papers, and authored 14 US patents / patent applications. She joined the CPIQ initiative (Camera Phone Image Quality) in 2006, and since then has made major contributions in the development of the softcopy quality ruler method, and the CPIQ metrics for visual noise, texture blur, spatial frequency responses, chroma level, and color uniformity. She currently leads the Color/Tone Subgroup of the IEEE CPIQ Standard Working Group. |
Mobile Device Camera IQ
Session Chairs:
Susan Farnand, Rochester Institute of Technology, and Jackson Roland, Apple Inc. (United States)
9:20 – 10:20 AM
Grand Peninsula Ballroom A
This session is jointly sponsored by: Image Quality and System Performance XIV and Digital Photography and Mobile Imaging XIII.
9:20IQSP-250
A methodology for perceptual image quality assessment of smartphone cameras – Color quality, Susan Farnand1, Young Jang2, Lark Kwon Choi2, and Chuck Han2; 1Rochester Institute of Technology, and 2Qualcomm Inc. (United States)
9:40IQSP-251
Assessing the ability of simulated laboratory scenes to predict the image quality performance of HDR captures (and rendering) of exterior scenes using mobile phone cameras, Amelia Spooner1, Ashley Solter1, Fernando Voltolini de Azambuja1, Nitin Sampat1, Stephen Viggiano1, Brian Rodricks2, and Cheng Lu3; 1Rochester Institute of Technology, 2SensorSpace, LLC, and 3Intel Corporation (United States)
10:00DPMI-252
Cell phone rankings!, Dietmar Wueller, Image Engineering GmbH & Co. KG (Germany)
10:00 AM – 7:30 PM Industry Exhibition
10:20 – 10:50 AM Coffee Break
MTF
Session Chairs:
Peter Burns, Burns Digital Imaging, and Feng Li, GoPro Inc. (United States)
10:50 AM – 12:30 PM
Grand Peninsula Ballroom A
This session is jointly sponsored by: Image Quality and System Performance XIV and Digital Photography and Mobile Imaging XIII.
10:50IQSP-253
Characterization of entire imaging plane spatial frequency response, Victor Lenchenkov, Orit Skorka, Stan Micinski, and Radu Ispasoiu, ON Semiconductor (United States)
11:10IQSP-254
Reverse-projection method for measuring camera MTF, Stan Birchfield, Microsoft Corporation (United States)
11:30IQSP-255
Texture MTF from images of natural scenes, Riccardo Branca1, Sophie Triantaphillidou1, and Peter Burns2; 1University of Westminster (United Kingdom) and 2Burns Digital Imaging (United States)
11:50DPMI-256
Camera phone texture preservation measurements with modulation transfer function: An alternative approach for noise estimation of random texture chart images, Nitin Suresh1,2, Joshua Pfefer1, and Quanzeng Wang1; 1U.S. Food and Drug Administration and 2University of Maryland (United States)
12:10IQSP-257
The effects of misregistration on the dead leaves cross-correlation texture blur analysis, Robert Sumner1, Ranga Burada1, and Noah Kram2; 1Imatest, LLC and 2Rochester Institute of Technology (United States)
12:30 – 2:00 PM Lunch Break
EI 2017 Tuesday Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
VR 2.0: Making virtual reality better than reality, Gordon Wetzstein, Stanford University (United States)
Gordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science, at Stanford University, and leads the Stanford Computational Imaging Group. He received a PhD in computer science from the University of British Columbia (2011) where his doctoral dissertation focused on computational light modulation for image acquisition and display. In his talk, Wetzstein explores the frontiers of VR systems engineering. Eventually, VR/AR systems will redefine communication, entertainment, education, collaborative work, simulation, training, telesurgery, and basic vision research, as next-generation computational near-eye displays evolve to deliver visual experiences that are better than the real world.
3:00 – 3:30 PM Coffee Break
Systems Measurements
Session Chair:
Frans Gaykema, Océ Technologies (the Netherlands)
3:30 – 5:30 PM
Harbour A,B
3:30IQSP-230
Towards a quantitative evaluation of multi-imaging systems, Martin Renaudin, Anna-Cecilia Vlachomitrou, Gabriele Facciolo, Wolf Hauser, Clement Sommelet, Clément Viard, and Frédéric Guichard, DxO (France)
3:50IQSP-231
Resolution enhancement through superimposition of projected images – How to evaluate the quality?, Svein Arne Hansen1,2, Jon Yngve Hardeberg3, and Muhammad Nadeem Akram1; 1University College of Southeast Norway, 2Barco, and 3Norwegian University of Science and Technology (Norway)
4:10IQSP-232
Evaluation of major factors affecting spatial resolution of gamma-rays camera, Hongwei Xie, Jinchuan Chen, Qiang Yi, Faqiang Zhang, and Linbo Li, Institute of Nuclear Physics and Chemistry (China)
4:30IQSP-233
Development and image quality evaluation of 8K high dynamic range cameras with hybrid log-gamma, Ryohei Funatsu, Kazuya Kitamura, Toshio Yasue, Daiichi Koide, and Hiroshi Shimamoto, NHK (Japan Broadcasting Corporation) (Japan)
4:50IQSP-234
Detection of streaks caused by dust in the sheetfed scanners, Daulet Kenzhebalin1, Xing Liu1, Ni Yan1, Peter Bauer2, Jerry Wagner2, and Jan Allebach1; 1Purdue University and 2HP Inc. (United States)
5:10IQSP-235
Effect of dark current distribution on image quality, Orit Skorka, Pulla Reddy Ailuri, Leo Anzagira, and Radu Ispasoiu, ON Semiconductor (United States)
5:30 – 7:30 PM Symposium Demonstration Session, Grand Peninsula Ballroom E
Wednesday February 1, 2017
Print Quality
Session Chair:
Chaker Larabi, Université de Poitiers (France)
9:10 – 9:50 AM
Harbour A,B
9:10IQSP-238
Feature ranking and selection used in a machine learning framework for predicting uniformity of printed pages, Minh Nguyen1,2 and Jan Allebach1; 1Purdue University and 2Duos Technologies Inc. (United States)
9:30IQSP-239
Real-time print quality diagnostics, Zuguang Xiao1, Minh Nguyen1, Eric Maggard2, Mark Shaw2, Jan Allebach1, and Amy Reibman1; 1Purdue University and 2HP Inc. (United States)
10:00 AM – 4:00 PM Industry Exhibition
10:10 – 10:50 AM Coffee Break
Display
Session Chair:
Sophie Triantaphillidou, University of Westminster (United Kingdom)
10:50 AM – 12:10 PM
Harbour A,B
10:50IQSP-240
UHD quality analyses at various viewing conditions, Chulhee Lee, Sangwook Baek, Sungwook Youn, Seongyoun Woo, and Jeongyeol Baek, Yonsei University (Republic of Korea)
11:10IQSP-241
Image quality assessment for holographic display, Wontaek Seo, Hoon Song, Jungkwuen An, Juwon Seo, Geeyoung Sung, Yun-Tae Kim, Chil-Sung Choi, Sunil Kim, Hojung Kim, Yongkyu Kim, Young Kim, Yunhee Kim, Hong-Seok Lee, and Sungwoo Hwang, Samsung Advanced Institute of Technology (Republic of Korea)
11:30IQSP-242
Subjective viewer preference model for automatic HDR down conversion, Lucien Lenzen and Mike Christmann, Hochschule RheinMain (Germany)
11:50IQSP-243
Towards foveated just noticeable difference modeling for virtual reality, Yuqiao Deng, Yingxue Zhang, Daiqin Yang, and Zhenzhong Chen, Wuhan University (China)
12:10 – 2:00 PM Lunch Break
EI 2017 Wednesday Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
Designing VR video camera systems, Brian Cabral, Facebook, Inc. (United States)
Brian Cabral is Director of Engineering at Facebook, leading the Surround 360 VR camera team, specializing in computational photography, computer vision, and computer graphics. He has published a number of papers in the area of computer graphics and imaging including the pioneering Line Integral Convolution algorithm. Cabral discusses developing Facebook Surround 360, an open, high-quality 3D-360 video capture system. VR video capture systems are composed of multiple optical and digital components - all of which must operate as if they are one seamless optical system. The design of VR video cameras, optical choices, SNR, etc., require a new set of technologies and engineering approaches, with tight coupling to the computational system components.
3:00 – 3:30 PM Coffee Break
Camera 3A
Session Chair:
Jonathan Phillips, Google Inc. (United States)
3:30 – 4:50 PM
Harbour A,B
3:30IQSP-244
A framework for auto-exposure subjective comparison, Seungseok Oh1, Clayton Passmore1,2, Bobby Gold1, Taylor Skilling1,3, Sean Pieper1, Taek Kim1, and Margaret Belska1; 1NVIDIA (United States), 2University of Waterloo (Canada), and 3Northeastern University (United States)
3:50IQSP-245
Autofocus measurement for imaging devices, Pierre Robisson, Jean-Benoit Jourdain, Wolf Hauser, Clément Viard, and Frédéric Guichard, DxO (France)
4:10IQSP-246
Auto Focus Performance - What can we expect from today's cameras?, Uwe Artmann, Image Engineering GmbH & Co KG (Germany)
4:30IQSP-247
Autofocus analysis: Latency and sharpness, Katrina Passarella, Brett Frymire, and Ed Chang, Google, Inc (United States)
PANEL: Image Quality Discussion
Panel Moderators: Robin Jenkin, ON Semiconductor, and Elaine Jin, Google Inc. (United States)
4:50 – 5:30 PM
Harbour A,B
5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research, Atrium
Image Quality and System Performance XIV Interactive Papers Session
5:30 – 7:00 PM
Atrium
The following works will be presented at the EI 2017 Symposium Interactive Papers Session.
IQSP-248
Optical aberration correction of scanning holographic display, Hyun-Eui Kim, Min-Sik Park, Hyon-Gon Choo, and Jinwoong Kim, Electonics and Telecommunications Research Institute (Republic of Korea)
IQSP-236
Solid-mottle method for measuring in laser-printers, Daegun Ko, Su-Han Song, Ki-Youn Lee, You-Sun Bang, Ki-Min Kang, and Seong-Wook Han, Samsung Electronics (Republic of Korea)