Color Measurement by Imaging Spectrometry

Stokman, H.M.G.; Gevers, Th.; Koenderink, Jan J.

doi:10.1006/cviu.2000.0860

Cited by 35 publications

(32 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The alternative imaging spectrometer approach using many narrow bandwidth filters is described in more detail by Stokman et al 17 …”

Section: Discussionmentioning

confidence: 99%

Testing and optimizing the spectral response of digital cameras

Oulton¹,

Yu²

2005

The Imaging Science Journal

View full text Add to dashboard Cite

A colorimetric analysis and design method for cameras is presented which enables a camera to be used as an imaging colorimeter, capable of capturing an accurate record of the Commission Internationale de l'É clairage (CIE) coordinates of the imaged objects. The spectral response characteristics of some of the component observers in the 1964 CIE Standard Observer average are first analysed and compared. CIE colour coordinates are calculated using both the Standard Observer average and individual observer CMFs for each of 32 test colours. The personal coordinates for each observer are then linked to differences in their visual response CMFs at the spectral level. A colorimetric testing and optimization method for cameras is then reported, which allows the colour capture properties of imaging systems to be analysed, controlled and modified. The method is based on imaging spectrally defined colour charts and is used to demonstrate that even minor differences in the chosen RGB filter/sensor characteristics substantially affect the numeric accuracy of the colour-defining information in images. Colour imaging error is quantified and minimized, first by establishing the camera RGB to CIE XYZ relationship, and then by adjusting the spectral response of the sensors. Under controlled lighting and exposure conditions, the design method enables output pixel-colour definitions that are a close analogue of the measured CIE XYZ tristimulus values for the imaged surface colours.

show abstract

“…The alternative imaging spectrometer approach using many narrow bandwidth filters is described in more detail by Stokman et al 17 …”

Section: Discussionmentioning

confidence: 99%

Testing and optimizing the spectral response of digital cameras

Oulton¹,

Yu²

2005

The Imaging Science Journal

View full text Add to dashboard Cite

show abstract

“…Both do not take into account the special aspects of spectral imaging systems. Stokman, et al, 8 describe some aspects of calibration of an imaging spectrograph, related to color measurements. Several characteristics of the spectrograph are given in the manufacturer's datasheets.…”

Section: Burkementioning

confidence: 99%

Calibration and characterization of spectral imaging systems

Polder

Heijden

2001

SPIE Proceedings

View full text Add to dashboard Cite

Spectral image sensors provide images with a large number of contiguous spectral channels per pixel. This paper describes the calibration of spectrograph based spectral imaging systems.The relation between pixel position and measured wavelength was determined using three different wavelength calibration sources. Results indicate that for spectral calibration a source with very small peaks, such as a HgAr source, is preferred to narrow band filters. A second order polynomial model gives a better fit than a linear model for the pixel to wavelength mapping. The signal to noise ratio (SNR) is determined per wavelength. In the blue part of the spectrum, the SNR was lower than in the green and red part. This is due to a decreased quantum efficiency of the CCD, a smaller transmission coefficient of the spectrograph, as well as poor performance of the illuminant. Increasing the amount of blue light, using additional fluorescent tube with special coating increased the SNR considerably.Furthermore, the spatial and spectral resolution of the system are determined. These can be used to choose appropriate binning factors to decrease the image size without losing information.

show abstract

“…Thus it covers an extremely wide field of application research ranging from military reconnaissance to food contamination, color measurement and material classification and so on [1][2][3][4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Study on 512×128 pixels InGaAs near infrared focal plane arrays

Tang

Huang

et al. 2014

SPIE Proceedings

View full text Add to dashboard Cite

It is well known that In 0.53 Ga 0.47 As epitaxial material is lattice-matched to InP substrate corresponding to the wavelength from 0.9μm to 1.7μm, which results to high quality material and good device characteristics at room temperature. In order to develop the near infrared multi-spectral imaging, 512×128 pixels InGaAs Near Infrared Focal Plane Arrays (FPAs) were studied. The n-InP/i-InGaAs/n-InP double hereto-structure epitaxial material was grown by MBE. The 512× 128 back-illuminated planar InGaAs detector arrays were fabricated, including the improvement of passivation film, by grooving the diffusion masking layer, the P type electrode layer, In bump condition and so on. The photo-sensitive region has the diffusion area of 23×23μm 2 and pixel pitch of 30×30μm 2 . The 512×128 detector arrays were individually hybridized on readout integrated circuit(ROIC) by Indium bump based on flip-chip process to make focal plane arrays (FPAs). The ROIC is based on a capacitive trans-impedance amplifier with correlated double sampling and integrated while readout (IWR) mode with high readout velocity of every pixel resulting in low readout noise and high frame frequency. The average peak detectivity and the response non-uniformity of the FPAs are 1.63×10 12 cmHz 1/2 /W and 5.9%, respectively. The power dissipation and frame frequency of the FPAs are about 180mW and 400Hz, respectively.

show abstract

Color Measurement by Imaging Spectrometry

Cited by 35 publications

References 4 publications

Testing and optimizing the spectral response of digital cameras

Testing and optimizing the spectral response of digital cameras

Calibration and characterization of spectral imaging systems

Study on 512×128 pixels InGaAs near infrared focal plane arrays

Contact Info

Product

Resources

About