The Sound of Pixels by Zhao, Hang, Gan, Chuang, Rouditchenko, Andrew, Vondrick, Carl Martin, McDermott, Joshua Hartman, Torralba, Antonio

“…We introduce PixelPlayer, a system that, by leveraging large amounts of unlabeled videos, learns to locate image regions which produce sounds and separate the input sounds into a set of components that represents the sound from each pixel. …”
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Pixel Imaging Mass Spectrometry with fast and intelligent Pixel detectors by Nomerotski, A, Brouard, M, Campbell, E, Clark, A, Crooks, J, Fopma, J, John, J, Johnsen, A, Slater, C, Turchetta, R, Vallance, C, Wilman, E, Yuen, W

“…We report on 'proof of concept' experiments in Pixel Imaging Mass Spectrometry (PImMS) using an ultra-fast frame-transfer CCD camera and also describe an intelligent CMOS sensor which is being developed for this application by the PImMS collaboration in the UK. …”

COMPARISON OF ALGORITHMS FOR CONTROLLED PIXEL-BY-PIXEL CLASSIFICATION OF NOISY MULTICHANNEL IMAGES by Vladimir Lukin, Galina Proskura, Irina Vasilieva

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GF-1/6 Satellite Pixel-by-Pixel Quality Tagging Algorithm by Xin Fan, Hao Chang, Lianzhi Huo, Changmiao Hu

“…The Landsat and Sentinel series satellites contain their own quality tagging data products, marking the source image pixel by pixel with several specific semantic categories. …”
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Pixelated Photonic Crystals by Urban Mur, Miha Ravnik

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Local Pixel Attack Based on Sensitive Pixel Location for Remote Sensing Images by Lu Liu, Zixuan Xu, Daqing He, Dequan Yang, Hongchen Guo

“…For the problem of the modification cost of global pixel attack being too large, a local pixel attack algorithm based on sensitive pixel location is proposed in this paper. …”
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Real-Time Multidepth Multiphoton Microscopy Using Pixel-to-Pixel Focus-Switching by Yifan Qin, Deying Chen, Yuanqin Xia

“…The EOM is synchronized to the pixel clock from the microscope, achieving pixel-to-pixel focus-switching. …”
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All you need are a few pixels: semantic segmentation with PixelPick by Shin, G, Xie, W, Albanie, S

“…A central challenge for the task of semantic segmentation is the prohibitive cost of obtaining dense pixel-level annotations to supervise model training. …”

Region-based digital image segmentation using pixel caste-mark and pixel discrimination / by 411854 Cahyo Crysdian

Pixel-to-pixel Translation of Solar Extreme-ultraviolet Images for DEMs by Fully Connected Networks by Eunsu Park, Harim Lee, Yong-Jae Moon, Jin-Yi Lee, Il-Hyun Cho, Kyoung-Sun Lee, Daye Lim, Hyun-Jin Jeong, Jae-Ok Lee

“…In this study, we suggest a pixel-to-pixel image translation method among similar types of filtergrams such as solar extreme-ultraviolet (EUV) images. …”
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Region-based digital image segmentation using pixel caste-mark and pixel discrimination by Crysdian, Cahyo

CCTV : from light to pixels / by Damjanovski, Vlado, 1956-, author

Confocal Single-Pixel Imaging by Cheolwoo Ahn, Jung-Hoon Park

Subjects: “…single-pixel imaging…”
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Am I Too Pixelated? by Alethea Black

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galapagos: From pixels to parameters by Barden, M, Häußler, B, Peng, C, McIntosh, D, Guo, Y

Region-based digital image segmentation using pixel caste-mark and pixel discrimination [microfilm] / by Cahyo Crysdian

Low-Cost Unified Pixel Converter from the MIPI DSI Packets into Arbitrary Pixel Sizes by Kiyong Kwon, Dongwon Kang, Geon-Woo Ko, Seok-Young Kim, Seon-Wook Kim

“…This paper proposes a low-cost unified pixel converter, classifying each component and aligning the input payload into various pixel formats in only one step, thus achieving less area and lower power consumption overhead. …”
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The Pixel Luminosity Telescope: a detector for luminosity measurement at CMS using silicon pixel sensors by E. Ayala, E. CarreraJarrin, I. Ahmed, A. Campbell, V. Danilov, L. I. EstevezBanos, A. Giraldi, M. Guthoff, M. Hempel, H. Henschel, J. Knolle, W. Lange, J. Leonard, W. Lohmann, A. B. Meyer, V. Myronenko, M. Penno, B. Ribeiro Lopes, J. Rübenach, A. Saggio, V. Scheurer, R. E. Sosa Ricardo, O. Turkot, D. Walter, F. Kassel, S. Mallows, M. Bartók, R. Chudasama, K. Farkas, M. Fejes, M. M. A. Gadallah, P. Major, A. Mehta, G. Pásztor, A. J. Rádl, G. I. Veres, H. Bakhshiansohi, A. Gholami, E. Khazaie, M. Sedghi, M. Zeinali, F. Fabbri, N. Tosi, N. Bacchetta, P. P. Trapani, J. Daugalas, J. F. Benitez, A. Castaneda Hernandez, H. A. Encinas Acosta, L. G. Gallegos Maríñez, M. León Coello, J. A. Murillo Quijada, A. Sehrawat, L. Valencia Palomo, C. Oropeza Barrera, S. Bheesette, A. P. H. Butler, P. H. Butler, A. Lokhovitskiy, P. Lujan, G. Auzinger, A. H. Ball, Y. C. Çekmecelioğlu, A. Dabrowski, K. Damanakis, A. Donadon Servelle, F. Eble, M. Haranko, J. Hegeman, K. Kessaci, A. Kornmayer, R. Loos, M. Miraglia, J. Nicolini, S. Orfanelli, L. Orsini, A. Petrucci, V. Ryjov, S. Saariokari, C. Schwick, B. Schneider, S. Tsoukias, P. Tsrunchev, J. Wanczyk, A. A. Zagoździńska-Bochenek, W. D. Zeuner, T. Rohe, G. Krintiras, C. Palmer, Sh. Jain, J. Mans, R. Rusack, J. Bueghly, Z. Chen, T. Gunter, N. Odell, A. Pozdnyakov, M. Velasco, B. Harrop, S. Higginbotham, A. Kalogeropoulos, J. Luo, D. Marlow, D. Stickland, Z. Xie, E. Bartz, D. Hidas, O. Karacheban, S. Schnetzer, R. Stone, H. Acharya, A. G. Delannoy, J. Heideman, N. Karunarathna, G. Riley, K. Rose, S. Spanier, K. Thapa, A. Gurrola, W. Johns, F. Romeo, B. Soubasis, M. C. Farrow, I. Azhgirey, A. Ershov, A. Gribushin, A. Kaminskiy, I. Kurochkin, V. Okhotnikov, E. Popova, A. Riabchikova, D. Selivanova, A. Shevelev, CMS BRIL Collaboration

“…Abstract The Pixel Luminosity Telescope is a silicon pixel detector dedicated to luminosity measurement at the CMS experiment at the LHC. …”
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Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters by Jie Yang, Weiqi Jin, Su Qiu, Fuduo Xue, Meishu Wang

“…The interpolation performance is also improved by the proposed pixel-by-pixel, adaptive iterative process and the weighted average fusion of the results of the minimized residual and minimized Laplacian energy guide filters. …”
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Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping by Kanniah, Kasturi Devi, Ng, Su Wai, Lau, Alvin Meng Shin, Rasib, Abd. Wahid

“…Two classification approaches were applied, namely per-pixel and sub-pixel techniques. The conventional per-pixel classifiers used in this study were Maximum Likelihood (ML), Minimum Distance to Mean (MDM) and Contextual Logical Channel (CLC) while the Linear Mixture Model (LMM) was selected as the sub-pixel classification approach. …”
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