0000000000726522

AUTHOR

Mounir Omari

showing 4 related works from this author

On color image quality assessment using natural image statistics

2014

Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for gray scale images. In this paper, we consider a basic extension of well-known image-statistics based quality assessment measures to color images. In order to evaluate the impact of color information on the measures efficiency, two color spaces are investigated: RGB and CIELAB. Results of an extensive evaluation using TID 2013 benchmark demonstrates that significant improvement can be achieved for a great number of distortion type when the CIELAB color representation is used.

FOS: Computer and information sciencesColor histogrambusiness.industryColor imageComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balanceFalse colorColor spaceICC profileColor depthRGB color modelComputer visionArtificial intelligencebusinessMathematics
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Tetrolet-based reduced reference image quality assessment approach

2014

In this paper, we propose a new reduced reference image quality assessment (RRIQA) scheme. For this purpose, we use a statistical-based method in a new adaptive Haar wavelet transform domain, called Tetrolet. Firstly, we decompose the reference and distorted images and we obtain the Tetrolet coefficients for each image. Secondly, we use a marginal Generalized Gaussian Density (GGD) to model each subband coefficients. Finally, the distortion measure is computed using the Kullback Leibler Divergence (KLD) between GGD Probability density function (PDFs). Experimental results show the efficiency of the proposed method when comparing to those reported in the literature.

Reference imageKullback–Leibler divergencebusiness.industryComputer scienceDistortionPattern recognitionProbability density functionArtificial intelligencebusinessMeasure (mathematics)Domain (mathematical analysis)Haar waveletImage (mathematics)2014 International Conference on Multimedia Computing and Systems (ICMCS)
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Reduced reference 3D mesh quality assessment based on statistical models

2015

International audience; During their geometry processing and transmission 3D meshes are subject to various visual processing operations like compression, watermarking, remeshing, noise addition and so forth. In this context it is indispensable to evaluate the quality of the distorted mesh, we talk here about the mesh visual quality (MVQ) assessment. Several works have tried to evaluate the MVQ using simple geometric measures, However this metrics do not correlate well with the subjective score since they fail to reflect the perceived quality. In this paper we propose a new objective metric to evaluate the visual quality between a mesh with a perfect quality called reference mesh and its dis…

Gamma distribution[ INFO ] Computer Science [cs]Kullback–Leibler divergenceKullback-Leibler divergencestatistical modelingContext (language use)02 engineering and technologyhuman visual systemDatabases[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringcomputational geometryPolygon mesh[INFO]Computer Science [cs]Divergence (statistics)MathematicsComputingMethodologies_COMPUTERGRAPHICSVisualizationbusiness.industry020207 software engineeringStatistical modelPattern recognitionstatistical distributionsDistortionGeometry processing3D triangle mesh[ SPI.TRON ] Engineering Sciences [physics]/Electronicsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsHuman visual system modelMetric (mathematics)Solid modelingThree-dimensional displays020201 artificial intelligence & image processingDistortion measurementWeibull distributionArtificial intelligencebusinessobjective metricQuality assessment
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Color image quality assessment measure using multivariate generalized Gaussian distribution

2014

This paper deals with color image quality assessment in the reduced-reference framework based on natural scenes statistics. In this context, we propose to model the statistics of the steer able pyramid coefficients by a Multivariate Generalized Gaussian distribution (MGGD). This model allows taking into account the high correlation between the components of the RGB color space. For each selected scale and orientation, we extract a parameter matrix from the three color components sub bands. In order to quantify the visual degradation, we use a closed-form of Kullback-Leibler Divergence (KLD) between two MGGDs. Using "TID 2008" benchmark, the proposed measure has been compared with the most i…

FOS: Computer and information sciencesColor histogramColor imagebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionPattern recognitionColor spaceRGB color spacesymbols.namesakesymbolsPyramid (image processing)Artificial intelligencebusinessDivergence (statistics)Gaussian processGeneralized normal distributionMathematics
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