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A new Adaptive and Progressive Image Transmission Approach using Function Superpositions

2010

International audience; We present a novel approach to adaptive and progressive image transmission, based on the decomposition of an image into compositions and superpositions of monovariate functions. The monovariate functions are iteratively constructed and transmitted, one after the other, to progressively reconstruct the original image: the progressive transmission is performed directly in the 1D space of the monovariate functions and independently of any statistical properties of the image. Each monovariate function contains only a fraction of the pixels of the image. Each new transmitted monovariate function adds data to the previously transmitted monovariate functions. After each tra…

Computer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstructionmultidimensional function decompositionSuperposition principleRobustness (computer science)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionsignal processingspatial scalability.Image resolutionImage restorationSignal processingPixelbusiness.industryprogressive image transmissionGeneral Engineering020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsfunctional representation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Computer Science::Computer Vision and Pattern RecognitionKolmogorov superposition theorem020201 artificial intelligence & image processingTomographyArtificial intelligencebusinessDigital filterAlgorithmspatial scalabilityImage compression
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