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MULTISPECTRAL IMAGING FLOW CYTOMETRY
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007Flow cytometry has been an accepted technique for high throughput cellular analysis for several decades. It is unique in its ability to analyze large numbers of cells directly in fluid suspension, but it lacks any spatial resolution. A number of approaches have been taken to add imaging capabilities to flow cytometry, but generally at the expense of ...
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Multispectral analysis of multimodal images
Acta Oncologica, 2009An increasing number of multimodal images represent a valuable increase in available image information, but at the same time it complicates the extraction of diagnostic information across the images. Multispectral analysis (MSA) has the potential to simplify this problem substantially as unlimited number of images can be combined, and tissue properties
Yngve, Kvinnsland +3 more
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Deblurring Multispectral Laparoscopic Images
2014Multispectral imaging is an optical modality that can provide real-time in vivo information about tissue characteristics and function through signal sensitivity to chromophores in the tissue. In this paper, we present a deblurring strategy that enables imaging of dynamic tissues at wavelengths where the required acquisition time can cause significant ...
Geoffrey Jones +4 more
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Multispectral Satellite Image Processing
2016Having begun in the 1970s with the American Landsat program, the use of optical satellite images for civilian purposes has since experienced significant technological advancements. In the space of 10 years, the images provided by Earth observation satellites have gone from high to very high spatial resolution, from a decametric resolution to a ...
Ose, K. +4 more
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Distributed coding of multispectral images
2017 IEEE International Symposium on Information Theory (ISIT), 2017Compression of multispectal images is of great importance in an environment where resources such as computational power and memory are scarce. To that end, we propose a new extremely low-complexity encoding approach for compression of multispectral images, that shifts the complexity to the decoding.
Maxim Goukhshtein +3 more
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Multispectral image colour encoding
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002Advances in colour image sensors and computer technology have opened up new opportunities for colour-based image analysis by allowing it to use multispectral images - images that have tens or even hundreds of spectral colour channels. As multispectral images usually occupy large amounts of memory, some suitable way is needed to compress such images and
Pavel Zemcík +4 more
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Multispectral image restoration with multisensors
IEEE Transactions on Geoscience and Remote Sensing, 1997A procedure is advanced to restore a single color image, which has been degraded by a linear shift-invariant blur in the presence of additive noise. Four sensors are needed, followed by the application of the RGB-YIQ transformation. Subsequently, one 3-D Wiener filtration is required on a sequence of two luminance components and a 2-D Wiener filter is ...
K. J. Boo, Nirmal K. Bose
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Edge detection in multispectral images
CVGIP: Graphical Models and Image Processing, 1991Summary: The paper proposes an extension of edge detectors based on second-order differential operators to the case of multiple band (color) images. To this end, we define a local directional measure of multispectral contrast. A definition of edge point is then given, as the location of a directional maximum of the contrast function.
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Galileo multispectral imaging of Earth
Journal of Geophysical Research: Planets, 1995Nearly 6000 multispectral images of Earth were acquired by the Galileo spacecraft during its two flybys. The Galileo images offer a unique perspective on our home planet through the spectral capability made possible by four narrowband near‐infrared filters, intended for observations of methane in Jupiter's atmosphere, which are not incorporated in any ...
P, Geissler +5 more
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Universal encoding of multispectral images
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016We propose a new method for low-complexity compression of multispectral images. We develop on a novel approach to coding signals with side information based on recent advances in compressed sensing and universal scalar quantization. Our approach can be interpreted as a variation of quantized compressed sensing, where the most significant bits are ...
VALSESIA, DIEGO, Boufounos, Petros T.
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