Special Issue "Smart Image Sensors"
Deadline for manuscript submissions: 31 January 2021.
Interests: computer architecture; embedded systems; embedded vision intelligence; cybersecurity; FPGA and high-performance computing
Interests: cyberphysical systems; Internet of Things; embedded computing; embedded computer vision; VLSI systems
Interests: low-power, variation tolerant, and reliable VLSI systems; device/circuit level modeling/estimation of power, yield, and reliability; technology-circuit co-design methodologies; self-adaptive systems with on-chip sensing and a repair technique; memory design for VLSI applications; ultralow power and fault-tolerant nanoelectronics: technology, circuit, and computing platforms
Cameras are pervasively used in a wide range of applications, including monitoring and surveillance, crowd analysis, traffic control, precision agriculture, remote sensing, and manufacturing. While increasing the resolution of image sensors allows to capture tiny details of remote landscape and events, the fast-growing amount of data generated by modern image sensors is outpacing our capability to transport, store, and extract relevant content. Comparable to the 72 gigabytes that human vision sends to the brain every second, the amount of data produced by such systems in the future poses two major challenges: transportation and computation. First, current and future communication systems, even with the most advance video compression architecture, will not be able to provide the required bandwidth to transport those huge data streams. Second, the extraction of relevant information from a large amount of noisy video data poses substantial challenges that can be overcome only by highly specialized computers. While post-priori and non-real-time video analysis may be enough for certain groups of applications, it does not suffice for applications such as driving assistance, surveillance, or on-board remote sensing using cameras on drones, which require near real-time video and image analysis. The goal of this Special Issue is to explore ongoing work aimed at tackling the big data challenge in future imaging applications by pushing computation closer to image sensors and exploit the massive parallel nature of sensor arrays to filter out noisy data early in the capture process and provide only structure data to high-level processing and knowledge inference stages.
We are interested in vertically integrated technology, such as focal plane sensor processors (FPSP) and vision sensors that incorporate massively-parallel and possibly hierarchical architecture in the sensor, along with artificial intelligent algorithm to directly infer the scene at the source of data. The following topics are of interest.
- Advanced image sensor architectures
- In-Sensor computation for image processing applications
- Integrated learning and knowledge inference in image sensors
- Technology and fabrication
Prof. Christophe Bobda
Prof. Marilyn Wolf
Prof. Saibal Mukhopadhyay
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- image sensors
- focal plane computation
- knowledge inference
- machine learning