Abstract is missing.
- Influence of the light source on the image sensor characterization according to EMVA 1288Ganesh D. Kubina, Max Gäde, Uwe Artmann. 1-4 [doi]
- Investigating pretrained self-supervised vision transformers for reference-based quality assessmentKanjar de. 1-8 [doi]
- A tool for deriving camera spatial frequency response from natural scenes (NS-SFR)Oliver van Zwanenberg, Sophie Triantaphillidou, Robin B. Jenkin. 1-6 [doi]
- Image quality performance of CMOS image sensor equipped with Nano PrismSungho Cha, Suhyun Cho, Yonggu Park, Jaehyuk Heo, Kundong Kim, Sung-Su Kim, Yitae Kim. 1-5 [doi]
- Towards an image-computable visual text quality metric using deep neural networksLing-Qi Zhang, Minjung Kim, James Hillis, Trisha Lian. 1-5 [doi]
- VCX Version 2023 The latest transparent and objective mobile phone test schemeUwe Artmann. 1-6 [doi]
- Noise quality estimation on portraits in realistic controlled scenariosNicolas Chahine, Sofiene Lahouar, Samuel Soares Santos, Ana-Stefania Calarasanu, Sira Ferradans, Benoit Pochon, Frédéric Guichard. 1-6 [doi]
- Evaluation of image quality metrics designed for DRI tasks with automotive camerasValentine Klein, Theophanis Eleftheriou, Yiqi Li, Emilie Baudin, Claudio Greco, Laurent Chanas, Frédéric Guichard. 1-6 [doi]
- A method for evaluating camera auto-focusing performance using a transparent display deviceSeungwan Jeon, Kichul Park, Sung-Su Kim, Yitae Kim. 1-4 [doi]
- Age-specific perceptual image quality assessmentYinan Wang, Andrei Chubarau, Hyunjin Yoo, Tara Akhavan, James Clark. 1-7 [doi]
- Image demosaicing: Subjective analysis and evaluation of image quality metricsTawsin Uddin Ahmed, Seyed Ali Amirshahi, Marius Pedersen. 1-6 [doi]
- Another look at SSIM image quality metricYuriy A. Reznik. 1-7 [doi]
- Managing deviant data in spatial frequency response (SFR) measurement by outlier rejectionPeter D. Burns, Don R. Williams. 1-4 [doi]
- Proposing more ecologically-valid experiment protocol using YouTube platformGabriela Wielgus, Lucjan Janowski, Kamil Koniuch, Mikolaj Leszczuk, Rafal Figlus. 1-6 [doi]
- What are we looking at? An investigation on the use of deep learning models for image quality assessmentHa Thu Nguyen, Seyed Ali Amirshahi. 1-6 [doi]
- Improvement of the flare evaluation for cameras and imaging applications when using near-infrared lightingElodie Souksava, Emilie Baudin, Claudio Greco, Hoang-Phi Nguyen, Laurent Chanas, Frédéric Guichard. 1-5 [doi]
- Evaluation of motion blur image quality in video frame interpolationHai Dinh, Qinyi Wang, Fangwen Tu, Brett Frymire, Bo Mu. 262-1 [doi]
- Subjective video quality for 4K HDR-WCG content using a browser-based approach for "at-home" testingLukás Krasula, Anustup Choudhury, Scott Daly, Zhi Li 0001, Robin Atkins, Ludovic Malfait, Aditya Mavlankar. 263-1 [doi]
- Measuring camera information capacity with slanted-edges (Invited)Norman L. Koren. 454-1 [doi]