Телевизионная камера видимого и ближнего инфракрасного диапазонов

Variants of design of a multispectral TV camera of visible and near infrared (RGB&NIR) of ranges are considered. The test bench of single image sensor RGB&NIR-camera is developed. The review of the most perspective applications of com.pact RGB&NIR-camera is carried out.Рассмотрены варианты построения мультиспектральной телевизионной камеры видимого и ближнего инфракрасного (RGB&NIR) диапазонов. Разработан макет одноматричной RGB&NIR-камеры. Проведен обзор наиболее перспективных областей применения компактных RGB&NIR-камер

Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition

Multispectral acquisition improves machine vision since it permits capturing more information on object surface properties than color imaging. The concept of spectral filter arrays has been developed recently and allows multispectral single shot acquisition with a compact camera design. Due to filter manufacturing difficulties, there was, up to recently, no system available for a large span of spectrum, i.e., visible and Near Infra-Red acquisition. This article presents the achievement of a prototype of camera that captures seven visible and one near infra-red bands on the same sensor chip. A calibration is proposed to characterize the sensor, and images are captured. Data are provided as supplementary material for further analysis and simulations. This opens a new range of applications in security, robotics, automotive and medical fields

High Dynamic Range Spectral Imaging Pipeline For Multispectral Filter Array Cameras

Spectral filter arrays imaging exhibits a strong similarity with color filter arrays. This permits us to embed this technology in practical vision systems with little adaptation of the existing solutions. In this communication, we define an imaging pipeline that permits high dynamic range (HDR)-spectral imaging, which is extended from color filter arrays. We propose an implementation of this pipeline on a prototype sensor and evaluate the quality of our implementation results on real data with objective metrics and visual examples. We demonstrate that we reduce noise, and, in particular we solve the problem of noise generated by the lack o