Academic literature on the topic 'Amélioration de la qualité visuelle des images'
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Journal articles on the topic "Amélioration de la qualité visuelle des images"
Miloudi, H., T. Bui, S. Fayolle, L. Gonzalez, B. Royer, A. Noel, F. Dufay, and S. Amir. "Optimisation d’un protocole rochers au scanner." Radioprotection 53, no. 1 (January 2018): 21–25. http://dx.doi.org/10.1051/radiopro/2017040.
Full textEttinger, Susanne, Marie Zeghdoudi, Nélida Manrique Llerena, Anne-Françoise Yao-Lafourcade, and Jean-Claude Thouret. "L'apport de l'imagerie à haute résolution spatiale à la cartographie du risque de crue torrentielle." Revue Française de Photogrammétrie et de Télédétection, no. 209 (September 5, 2014): 73–79. http://dx.doi.org/10.52638/rfpt.2015.129.
Full textPolidori, Laurent, Maxime Claden, Romain Frelat, Mahmad Elhage, Fouzia Bendraoua, Gary Doliscar, Philémon Mondesir, Boby Emmanuel Piard, and Cédric Gaucherel. "Elaboration du Référentiel Hydrographique d'Haïti à partir d'un MNT ASTER." Revue Française de Photogrammétrie et de Télédétection, no. 205 (February 21, 2014): 49–57. http://dx.doi.org/10.52638/rfpt.2014.3.
Full textRobin, Nicolas, Robbin Carien, and Laurent Dominique. "Peut-on bénéficier d’une pratique en imagerie motrice quand on a des difficultés à s’imaginer servir ?" ITF Coaching & Sport Science Review 31, no. 89 (April 29, 2023): 62–65. http://dx.doi.org/10.52383/itfcoaching.v31i89.395.
Full textDjaouga, Mama, Ousséni Arouna, Soufouyane Zakari, Sébastien Kouta, Yaya Issifou Moumouni, Benoit Mertens, Ismaïla Toko Imorou, and Omer Thomas. "Cartographie de la déforestation dans le département de l'Alibori (nord du Benin) grâce aux images satellitaires SPOT." Revue Française de Photogrammétrie et de Télédétection 223 (January 26, 2022): 200–216. http://dx.doi.org/10.52638/rfpt.2021.577.
Full textLefrancq, Marie, Mamadou Diarra, Ousmane Hane, Ludovic Lhuissier, Thierno Ndour, Bernard Thumerel, Farouk Toumiat, and Mama Yena. "Apport de la télédétection pour le suivi des rizicultures dans le bassin versant du fleuve Sénégal." La Houille Blanche, no. 5 (October 2020): 60–67. http://dx.doi.org/10.1051/lhb/2020049.
Full textOusmane, LAMINOU MANZO, AMANI Abdou, DAN GUIMBO Iro, RACHIDI Abdou Harouna, and MAHAMANE Ali. "Impacts des banquettes dans la récupération des terres dégradées au Niger." Journal of Applied Biosciences 151 (July 31, 2020): 15510–29. http://dx.doi.org/10.35759/jabs.151.1.
Full textDissertations / Theses on the topic "Amélioration de la qualité visuelle des images"
Ding, Yi. "Amélioration de la qualité visuelle et de la robustesse aux post-traitements des images comprimées par une approche de type "problème inverse"." Lyon, INSA, 1996. http://www.theses.fr/1996ISAL0086.
Full textLow bit-rate can only be attained by lossy compression techniques. Most of the lossy compression schemes proceed by blocks at the transformation or at the quantization stage. The usual decompression algorithm is a symmetric inverse processing of the compression scheme. This generates blocking artifacts and ringing noise. Furthermore, decompressed image can never support post-processing such as edge detection. In this work, we propose a decompression scheme based on the theory of inverse problems. The decompression restores the compressed image with some constraints based on information about both the original image and on the compression procedure: the image smoothness and the upper bound of the quantization error, respectively. We consider an extension of the regularized mean square approach for ill-posed problems proposed by Miller. This idea is first carried out for the JPEG algorithm. We proposed two schemes. In the first one the dequantization array is calculated in order to minimize the reconstruction error subjected to a mean regularity constraint on the whole image blacks. This scheme is in full compliance with the JPEG standard. In the second approach the original image is pre-filtered by an unsharp masking filter in order to enhance the image details before compression and post-filtered by a low-pass inverse filter after decompression to remove the blocks. The inverse filter is designed for an optimal restoration subjected to both a constraint on the image roughness and on the decompression error. This second technique is more efficient than the first one against blocking artifacts. It is also in full compliance with the JPEG standard but requires two additional processing components. The robustness of the decompressed image to edge detection was assessed for both proposed schemes. We also proposed an algorithm which adapts the block size to the correlation length of the image in JPEG and which optimizes the coefficients of the quantization array. This approach is very efficient for medical images. The regularized restoration method is also applied to the subband coding techniques that use vector quantization of the subband images. Two approaches are considered. In the first one the image is restored at each resolution level and in the second one a global restoration is applied. Experimental results prove that both methods significantly reduce blocking effects and preserve the edges of compressed images. In order to complete the research, we compare the performance of our proposal to a non-linear approach which is adapted to the attenuation of ringing noise
Bouraoui, Atidel. "Image quality assessment using an artificial neural network approach." Paris 13, 2012. http://scbd-sto.univ-paris13.fr/intranet/edgalilee_th_2012_lahoulou_ep_bouraoui.pdf.
Full textImage quality assessment presents a substantial interest for image services that target human observers. Indeed, Image quality can be measured in two different ways. The first, called “subjective quality assessment”, is the obvious approach given the subjective nature of the visual data quality. The second one is called “objective quality assessment” that automatically allow to produce values that score image quality. There exists a large array of objective image quality assessment measures for which a taxonomic scheme has been proposed in the beginning of this manuscript. In fact, the first objective of this thesis is to provide a complete and thorough statistical predictive performance assessment of a variety of full‐reference objective quality measures over number of subjectively rated image quality databases. The second is to define the image attributes that are the most relevant to its quality evaluation. Two feature selection methods have been used including the structural risk minimization and the neural network based approaches. This allowed us to develop two new objective reduced‐reference image quality metrics where the image quality assessment requires the use of only a few features of the reference and the test images. The third objective of this research work is to exploit the supervised machine learning techniques, especially the multilayer perceptron based model, for automatic image quality appreciation. The system learns from the subjective quality scores and builds a model capable to further provide an objective measure that continues to match with the human opinion to any other image. The main target was to optimize the predictive performance of the developed measures according to correlation, monotonicity and accuracy. The default cost function based on error was employed for the first developed measure (that we called ECF) and a customized cost function based on correlation was proposed to design the second metric (that we called CCF). The comparative investigation to eighteen other full‐reference image quality algorithms over three image quality databases shows that both ECF and CCF take into consideration the nonlinearities of the human visual system. The ECF is more accurate than the majority of the metrics under study, while the CCF outperforms all its counterparts in terms of correlation and hence monotonicity
Cherifi, Daikha. "Amélioration et évaluation de la qualité des images." Thesis, Paris 13, 2014. http://www.theses.fr/2014PA132053.
Full textThe aim of this thesis is to propose new methods for image enhancement based on oriented and multi-scale transforms using some perceptual criteria. The first part of the thesis is devoted to the development of a simple and efficient contrast enhancement method inspired from the human visual system. This method is evaluated on a set of natural color and monochrome images. The obtained results are evaluated subjectively and by using objective measures based on energy spectrum analysis and perceptual criteria. The enhancement technique is also extended to some medical images, such as mammography and endoscopy images. A special contrast enhancement method adapted to mammography is then proposed. It is based on a segmentation process using a priori information on the mammography images. The last part of the thesis is devoted to image enhancement evaluation. A critical literature survey of image enhancement evaluation methods is provided. The evaluation method proposed in this thesis is based on the radial and angular analysis of the Fourier powerspectrum. Another perceptual approach is proposed to evaluate the output. This method is based on the analysis of the visibility map computed by using a pyramidal contrast. The evaluation is performed on some samples taken from two databases. Both subjective and objective evaluations demonstrate the efficiency of the proposed image enhancement methods
Le, Callet Patrick. "Critères objectifs avec référence de qualité visuelle des images couleur." Nantes, 2001. http://www.theses.fr/2001NANT2084.
Full textObjective metrics for image quality assessment are very useful in order to optimise performance of image processing systems for acquiring, viewing, archiving or transmitting visual data. An objective metric should provide quality measures in strong correspondence with human judgement. So, it is necessary to incorporate models of most of human visual system properties in the design of such metric. The main global of this thesis is to establish and apply these models in order to assess colour image quality. This assessment is done with the full reference image but without any a priori knowledge on the distortion nature introduced in the distorted image
Nguyen, Tien Nam. "Segmentation, Recognition and Indexing of Cham characters in Cham documents." Electronic Thesis or Diss., La Rochelle, 2023. http://www.theses.fr/2023LAROS016.
Full textSince the demise of Champa kingdoms during the 19th century, the Cham language that originated and developed from the 2nd century, is no longer really used among the descendants of the Champa. The lack of transmission of knowledge and documents of the Cham culture makes the study of this language difficult for epigraphists and historians. Therefore, the ANR CHAMDOC project aims to preserve and provide tools for studying the Cham language. In this thesis, we focused on the analysis of two types of Cham documents namely: inscriptions, which were engraved on stone steles, from 6th to 15th century; manuscripts dating from the 18th century. Some work on the digitization of inscriptions has started but no study has really been carried out. The collection of manuscripts, for its part, has never been exploited. These two collections offer many challenges for the scientific community. During this work, we propose a complete pipeline for the automatic processing of these documents. This is based on different DIA techniques. The challenges encountered come from the characteristics of the documents themselves, but also from the linguistic specificities of Cham. An analysis of these characteristics has been carried out in order to propose solutions adapted to inscriptions and manuscripts
Ninassi, Alexandre. "De la perception locale des distorsions de codage à l'appréciation globale de la qualité visuelle des images et vidéos : apport de l'attention visuelle dans le jugement de qualité." Nantes, 2009. http://www.theses.fr/2009NANT2012.
Full textThis study deals with the local evaluation of perceptual distortions, the overall visual quality assessment and the influence of visual attention in viusal quality assessment. To locally evaluate distortions in images, we have simplified an existing human visual system model using wavelet transform and we have proposed an improved visual masking model that takes into account both semi-local masking and contrast masking. From these models, we have designed and tested several image quality metrics. Regarding videos, we have developed a new method to locally evaluate the spatio-temporal distortions. This method is based on a short-term temporal pooling of spatial distortions which simulates the evaluation of distortions through some selection mechanisms of visual attention. A video quality metric based on this method has been designed and validated. It is based on a longterm temporal pooling incorporating perceptual saturation and asymmetric behavior. In order to study visual attention in subjective and objective visual quality assessment, eye-tracking experiments on images and videos have been conducted both in free task and quality task. From collected data we have studied the visual attention deployed in the different configurations. The results have confirmed, among others, the influence of the quality task on deployment of visual attention. The impact of visual attention in the construction of the quality judgment has also been studied using the real saliency information. Results show that, both with images and videos, a simple linear weighting of distortions by the visual attention does not clearly improve performances of objective quality metrics
El, Khalifa Moulay Ahmed. "Amélioration de la qualité des images en tomographie microonde : contribution à une imagerie quantitative." Paris 11, 1989. http://www.theses.fr/1989PA112203.
Full textBelgued, Youssef. "Amélioration de la qualité géométrique des images spatiales radar : méthodes de localisation et restitution du relief par radargrammétrie." Toulouse, INPT, 2000. http://www.theses.fr/2000INPT019H.
Full textAtif, Jamal. "Recalage non-rigide multimodal des images radiologiques par information mutuelle quadratique normalisée." Paris 11, 2004. http://www.theses.fr/2004PA112337.
Full textExposito, Jonathan. "Amélioration de la qualité des images obtenues par optique adaptative et application à l'étude des noyaux actifs de galaxie." Phd thesis, Université Paris-Diderot - Paris VII, 2013. http://tel.archives-ouvertes.fr/tel-01005770.
Full textConference papers on the topic "Amélioration de la qualité visuelle des images"
FERRANDON, Erwan, Mathis COURANT, Camélia POPESCU, Yann LAUNAY, Sophie ALAIN, and Claire LEFORT. "Un pipeline instrumental et computationnel pour visualiser des particules virales de SARS-CoV-2 en suspension." In Les journées de l'interdisciplinarité 2022. Limoges: Université de Limoges, 2022. http://dx.doi.org/10.25965/lji.684.
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