Multispectral Image Sensors Using Metasurfaces by Xin He, Paul Beckett and Ranjith R. Unnithan (2022, Trade Paperback)

Bargain Book Stores (1133425)
99.2% positive Feedback
Price:
US $115.03
Approximately£85.74
+ $15.10 postage
Estimated delivery Wed, 30 Jul - Mon, 11 Aug
Returns:
30 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.
Condition:
New
Format: Paperback or Softback. Condition Guide. Your Privacy. Your source for quality books at reduced prices. Item Availability.

About this product

Product Identifiers

PublisherSpringer
ISBN-109811675171
ISBN-139789811675171
eBay Product ID (ePID)11058363914

Product Key Features

Book TitleMultispectral Image Sensors Using Metasurfaces
Number of PagesXv, 112 Pages
LanguageEnglish
Publication Year2022
TopicMaterials Science / General, Lasers & Photonics, Physics / Optics & Light, General
IllustratorYes
GenreTechnology & Engineering, Photography, Science
AuthorXin He, Paul Beckett, Ranjith R. Unnithan
Book SeriesProgress in Optical Science and Photonics Ser.
FormatTrade Paperback

Dimensions

Item Weight7.4 Oz
Item Length9.3 in
Item Width6.1 in

Additional Product Features

Dewey Edition23
Series Volume Number17
Number of Volumes1 vol.
Dewey Decimal771
Table Of ContentIntroduction to Metasurfaces for Optical Applications.- Metasurfaces and Multispectral Imaging.- Transmission Enhancement in Coaxial Hole Array Based Plasmonic Color Filters.- CMY Camera using Nanorod Filter Mosaic Integrated on a CMOS Image Sensor.- A Single Sensor Based Multispectral Imaging Camera.- Hybrid Color Filters for Multispectral Imaging.- Conclusions and Future Outlook.
SynopsisThis book presents how metasurfaces are exploited to develop new low-cost single sensor based multispectral cameras. Multispectral cameras extend the concept of conventional colour cameras to capture images with multiple color bands and with narrow spectral passbands. Images from a multispectral camera can extract significant amount of additional information that the human eye or a normal camera fails to capture and thus have important applications in precision agriculture, forestry, medicine, object identifications, and classifications. Conventional multispectral cameras are made up of multiple image sensors each externally fitted with a narrow passband wavelength filters, optics and multiple electronics. The need for multiple sensors for each band results in a number of problems such as being bulky, power hungry and suffering from image co-registration problems which in turn limits their wide usage. The above problems can be eliminated if a multispectral camera is developed using one single image sensor., 1. Front Matter 2. Introduction a. Conventional Colour Filters and Image Sensors b. Conventional Multispectral Imaging (MI) sensor Systems i. Prism/Beam Splitter ii. Multilayer Coating based Filters 1. Fabry-Pérot (FP) Etalon 2. Photonic Bandgap techniques c. Applications of MI d. Limitations of the conventional Multispectral sensor systems e. Summary and Conclusions 3. Nanostructured Metasurface-based Optical Filters for MI applications a. Dielectric Guided-mode-resonance Filter (GMRF) b. Silicon Nanowire based filters c. Metallic Plasmonic Surface Filters i. Nanoslit Gratings ii. Nanohole Arrays iii. Nanoparticle Structures iv. Metallic Apertures d. Other techniques e. Summary and Conclusions 4. Simulation and Fabrication Techniques for Nanoscale Metasurfaces a. Geometry, Structures and Materials b. Boundary Conditions c. Meshing d. Materials Considerations e. Fabrication techniques f. Summary and Conclusions 5. Transmission Enhancement in Coaxial Hole Array Based Plasmonic Color Filters a. Introduction b. Simulation Model and Optimization Method c. Results and Discussion d. Summary and Conclusions 6. Single Sensor based Multispectral Sensor Examples using Metasurfaces a. CMY Camera using Nanorod Filter Mosaic b. Multispectral Imaging Camera using a Narrow Spectral Band Colour Mosaic c. Hybrid Color Filters d. Summary and Conclusions 7. Concluding Remarks
LC Classification NumberQC350-467
No ratings or reviews yet
Be the first to write a review