Multispectral imaging has wider application domains, such as remote sensing, astronomy, medical imaging, analysis of museological objects, cosmetics, medicine, high-accuracy color printing, computer graphics and multimedia. These systems can significantly improve the color accuracy and make color reproduction under different illumination environments possible with reasonably good accuracy and have higher color accuracy, and unlike conventional digital cameras, they are not limited to the visual range, rather they can also be used in near infrared, infrared and ultraviolet spectrum as well depending on the sensor responsivity range. Multispectral imaging systems are still considerably less prone to metamerism They do not produce the spectrum of an object directly, and they rather use estimation algorithms to obtain spectral functions from the sensor responses. ![]() Multispectral imaging systems acquire images in relatively wider and limited spectral bands. This paper is mainly focused on multispectral imaging. * Correspondence: Norwegian Color Research Laboratory, Gjovik University College, Gjovik, Norwayįull list of author information is available at the end of the articleĪcquisition time, complexity and cost of these systems are generally quite high compared to multispectral systems. Hyperspectral imaging systems produce high measurement accuracy however, the Hyperspec-tral imaging deals with imaging narrow spectral bands over a contiguous spectral range and produces the spectra of all pixels in the scene. There is no fine line separating the two however, spectral imaging systems with more than 10 bands are generally considered as hyperspectral, whereas with less than 10 are considered as multispectral. Based on the number of bands, spectral imaging systems can be divided into two major types: multispectral and hyper-spectral. Spectral imaging systems capture image data at specific wavelengths across the electromagnetic spectrum. Spectral imaging addresses these problems. ![]() However, these suffer from several limitations: these systems provide only color image, suffer from metamerism and are limited to visual range, and the captured images are environment dependent. Conventional image acquisition systems, which capture images into three color channels, usually red, green and blue, are by far the most commonly used imaging systems. With the development and advancement of digital cameras, acquisition and use of digital images have increased tremendously. ![]() Since it acquires the multispectral images in one shot, the proposed system can solve the limitations of slow and complex acquisition process, and costliness of the state of the art multispectral imaging systems, leading to its possible uses in widespread applications. Both simulations and experiments have shown that the proposed system performs well both spectrally and colorimetrically. The spectral reflectance and/or color at each pixel on the scene are estimated from the corresponding camera outputs in the two images. The two images acquired from the stereo camera are then registered for pixel-to-pixel correspondence. ![]() The two filters from the best pair, selected from among readily available filters such that they modify the sensitivities of the two cameras in such a way that they produce optimal estimation of spectral reflectance and/or color, are placed in front of the two lenses of the stereo camera. This paper proposes a one-shot six-channel multispectral color image acquisition system using a stereo camera and a pair of optical filters. Raju Shrestha1*, Alamin Mansouri2 and Jon Yngve Hardeberg1 Multispectral imaging using a stereo camera: concept, design and assessment
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