Search results for "Finite impulse response"

showing 3 items of 23 documents

FDTD signal extrapolation using a finite impulse response neural network model

1999

Waveguide filterFinite impulse responseComputer scienceAcousticsExtrapolationCondensed Matter PhysicsSignalAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsElectronic engineeringElectrical and Electronic EngineeringInfinite impulse responseDigital filterLinear filterImpulse responseMicrowave and Optical Technology Letters
researchProduct

<title>Human cell texture analysis with quincunx spline wavelet transform</title>

1999

Wavelet transforms are efficient tools for texture analysis and classification. Separable techniques are classically used but present several drawbacks. First, diagonal coefficients contain poor information. Second, the other coefficients contain useful information only if the texture is oriented in the vertical and horizontal directions. So an approach of texture analysis by non-separable transform is proposed. An improved interscale resolution is allowed by the quincunx scheme and this analysis leads to only one detail image where no particular orientation is favored. New orthogonal isotropic filters for the decomposition are constructed by applying McClellan transform on one dimension B-…

business.industrySecond-generation wavelet transformStationary wavelet transformSpline waveletComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformSpline (mathematics)WaveletQuincunxComputer visionArtificial intelligencebusinessInfinite impulse responseAlgorithmMathematicsHuman Vision and Electronic Imaging IV
researchProduct

Application of Periodic Frames to Image Restoration

2014

In this chapter, we present examples of image restoration using periodic frames. Images to be restored were degraded by blurring, aggravated by random noise and random loss of significant number of pixels. The images are transformed by periodic frames designed in Sects. 17.2 and 17.4, which are extended to the 2D setting in a standard tensor product way. In the presented experiments, performances of different tight and semi-tight frames are compared between each other in identical conditions.

symbols.namesakeTensor productPixelComputer scienceTight frameRandom noiseRandom lossGaussian functionsymbolsAlgorithmInfinite impulse responseImage restoration
researchProduct