Search results for "demosaicing"

showing 10 items of 11 documents

A wavelet-based demosaicking algorithm for embedded applications

2010

This paper presents an alternative to the spatial reconstruction of the sampled color filter array acquired through a digital image sensor. A demosaicking operation has to be applied to the raw image to recover the full-resolution color image. We present a low-complexity demosaicking algorithm processing in the wavelet domain. Produced images are available at the output of the algorithm either in the spatial representation or directly in the wavelet domain for high-level post processing in the latter domain. Results show that the computational complexity has been lowered by a factor of five compared to state of the art demosaicking algorithms.

DemosaicingComputer scienceColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformIterative reconstructionDigital imageWaveletColor filter arrayComputer visionArtificial intelligencebusinessImage resolutionAlgorithm2010 Conference on Design and Architectures for Signal and Image Processing (DASIP)
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Use of wavelet for image processing in smart cameras with low hardware resources

2013

International audience; Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower compu…

Computational complexity theoryComputer scienceImage qualityEmbedded systemsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[SPI]Engineering Sciences [physics]WaveletDigital image processing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer visionSmart cameraDWTDigital signal processingDenoisingDemosaicingbusiness.industry020202 computer hardware & architectureDemosaicingRecognitionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessWaveletSoftwareComputer hardware
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THE INFLUENCE OF CHROMATIC ABERRATION ON DEMOSAICKING

2014

International audience; The wide deployment of colour imaging devices owes much to the use of colour filter array (CFA). A CFA produces a mosaic image, and normally a subsequent CFA demosaick-ing algorithm interpolates the mosaic image and estimates the full-resolution colour image. Among various types of optical aberrations from which a mosaic image may suffer, chromatic aberration (CA) influences the spatial and spectral correlation through the artefacts such as blur and mis-registration, which demosaicking also relies on. In this paper we propose a simulation framework aimed at an investigation of the influence of CA on demosaicking. Results show that CA benefits de-mosaicking to some ex…

Colour imageDemosaicinggenetic structuresbusiness.industryColour filter arraychromatic aberration02 engineering and technology01 natural sciencescolour filter array010309 opticsOptical imagingdemosaicking[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciencesChromatic aberration[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionIntegrated opticsArtificial intelligencebusinessMathematicsInterpolation
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Characterization of a digital camera as an absolute tristimulus colorimeter

2003

An algorithm is proposed for the spectral and colorimetric characterization of digital still cameras (DSC) which allows them to be used as tele-colorimeters with CIE-XYZ color output, in cd/m2. The spectral characterization consists in the calculation of the color-matching functions from the previously measured spectral sensitivities. The colorimetric characterization consists in trans- forming the raw RGB digital data into absolute tristimulus values CIE-XYZ (in cd/m2) under variable and unknown spectroradiometric conditions. Thus, in the first stage, a gray balance was applied over the raw RGB digital data to convert them into RGB relative colorimetric values. In the second stage, an algo…

business.product_categoryDemosaicingDigital camerabusiness.industryColor correctionDevice modeling and characterizationTristimulus colorimeterSpectroradiometerDevice limitationsColorCheckerRGB color modelComputer visionArtificial intelligenceColorimetrybusinessColor correctionÓpticaDigital cameraMathematicsColor Imaging VIII: Processing, Hardcopy, and Applications
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Evaluation of the Colorimetric Performance of Single-Sensor Image Acquisition Systems Employing Colour and Multispectral Filter Array

2015

International audience; Single-sensor colour imaging systems mostly employ a colour filter array (CFA). This enables the acquisition of a colour image by a single sensor at one exposure at the cost of reduced spatial resolution. The idea of CFA fit itself well with multispectral purposes by incorporating more than three types of filters into the array which results in multispectral filter array (MSFA). In comparison with a CFA, an MSFA trades spatial resolution for spectral resolution. A simulation was performed to evaluate the colorimetric performance of such CFA/MSFA imaging systems and investigate the trade-off between spatial resolution and spectral resolution by comparing CFA and MSFA …

010302 applied physicssingle-sensorDemosaicingComputer sciencebusiness.industryColour filter arrayMultispectral imageBilinear interpolation01 natural sciencescolour filter array010309 opticsWaveletFilter (video)colorimetric performance[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[ INFO.INFO-TI ] Computer Science [cs]/Image Processingmultispectral imagingComputer visionArtificial intelligenceSpectral resolutionbusinessImage resolution
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Sensors based on MultiSpectral Filter Arrays

2014

International audience; Spectral Filter arrays (SFA) is an emerging technology for multispectral image acquisition. SFAs make possible the use of a compact multispectral sensor to acquire still images or video. One part of this talk will present and compare typical multispectral and color image acquisition systems in order to clearly identify differences underlying SFA technologies. The other part of this talk will show the difficulties and advances that we have made at the University of Bourgogne in the building of such sensors from the design of filters to data processing, such as demosaicing.

multispectral acquisition[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMultispectral filter arrays[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingdemosaicing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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eISP: a Programmable Processing Architecture for Smart Phone Image Enhancement

2009

4 pages; Today's smart phones, with their embedded high-resolution video sensors, require computing capacities that are too high to easily meet stringent silicon area and power consumption requirements (some one and a half square millimeters and half a watt) especially when programmable components are used. To develop such capacities, integrators still rely on dedicated low resolution video processing components, whose drawback is low flexibility. With this in mind, our paper presents eISP {--} a new, fully programmable Embedded Image Signal Processor architecture, now validated in {TSMC 65nm} technology to achieve a capacity of {16.8 GOPs} at {233 MHz}, for {1.5 mm$^2$} of silicon area and…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processinglow power[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingCMOSdemosaïcking[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingeISPmm²SIMDimage processingvideo pipesmall siliconMulti-SIMDcomputing tilemilliwatt[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingsensordemosaicingTSMC 65nm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Color Correction for Image Stitching by Monotone Cubic Spline Interpolation

2015

This paper proposes a novel color correction scheme for image stitching where the color map transfer is modelled by a monotone Hermite cubic spline and smoothly propagated into the target image. A three-segments monotone cubic spline minimizing color distribution statistics and gradient differences with respect to both the source and target images is used. While the spline model can handle non-linear color maps, the minimization over the gradient differences limits strong alterations on the image structure. Adaptive heuristics are introduced to reduce the minimization search space and thus computational time. Experimental comparisons with respect to the state-of-the-art linear mapping model…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage stitchingDemosaicingSettore INF/01 - Informaticabusiness.industryColor correctionMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMonotone cubic interpolationPhotometric blendingCubic Hermite splineSmoothing splineColor transferComputer visionArtificial intelligenceColor transfer image stitching photometric blendingbusinessSpline interpolationThin plate splineAlgorithmImage gradientComputingMethodologies_COMPUTERGRAPHICSMathematics
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HDR Imaging Pipeline for Spectral Filter Array Cameras

2017

Multispectral single shot imaging systems can benefit computer vision applications in needs of a compact and affordable imaging system. Spectral filter arrays technology meets the requirement, but can lead to artifacts due to inhomogeneous intensity levels between spectral channels due to filter manufacturing constraints, illumination and object properties. One solution to solve this problem is to use high dynamic range imaging techniques on these sensors. We define a spectral imaging pipeline that incorporates high dynamic range, demosaicing and color image visualization. Qualitative evaluation is based on real images captured with a prototype of spectral filter array sensor in the visible…

medicine.medical_specialtyDemosaicingColor imageComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications02 engineering and technologyReal imageSpectral imagingHigh-dynamic-range imagingFilter (video)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessHigh dynamic range
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Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images

2021

Abstract Multispectral imaging systems are currently expanding with a variety of multispectral demosaicking algorithms. But these algorithms have limitations due to the remarkable presence of artifacts in the reconstructed image. In this paper, we propose a powerful multispectral image demosaicking method that focuses on the G band and luminance component. We've first identified a relevant 4-and 5-band multispectral filter array (MSFA) with the dominant G band and then proposed an algorithm that consistently estimates the missing G values and other missing components using a convolution operator and a weighted bilinear interpolation algorithm based on the luminance component. Using the cons…

Computer engineering. Computer hardwareDemosaicingDemosaicking algorithmComputer scienceMultispectral imageBilinear interpolationQA75.5-76.95General MedicineExtension (predicate logic)Filter (signal processing)Multispectral filter arrayLuminanceConvolutionTK7885-7895G bandElectronic computers. Computer scienceComponent (UML)Weighted bilinear interpolationLuminance componentAlgorithmArray
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