Showing 6 open source projects for "variation"

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    Image Harmonization Dataset iHarmony4

    Image Harmonization Dataset iHarmony4

    The first large-scale public benchmark dataset for image harmonization

    This repository provides the iHarmony4 dataset, which is a large-scale dataset designed for image harmonization tasks. Image harmonization involves adjusting the appearance of a foreground in a composite image so that it is consistent with the background (in color, tone, illumination, etc.). The iHarmony4 dataset comprises four sub-datasets (HCOCO, HAdobe5k, HFlickr, Hday2night), each making composite images by combining a foreground from one image with a background from another, along with...
    Downloads: 2 This Week
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  • 2
    AuroreNR
    Software developed for the analysis of Neutron Reflectivity data.
    Downloads: 0 This Week
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  • 3

    SubPatCNV

    Approximate association pattern mining algorithm for CNVs.

    ...SubPatCNV is suitable for analysis of arrayCGH data of a population or a patient cohort such as HapMap data or TCGA data to answer specific questions like "Which are all the chromosomal fragments showing nearly identical deletions or insertions in more than 30% of the individuals in the HapMap population or TCGA tumor samples?". SubPatCNV is the implementation of a variation of approximate association pattern mining algorithm under a spatial constraint on the positional CNV probe features. The implementation scales to high-density array data with hundreds of thousands features.
    Downloads: 0 This Week
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  • 4
    MRI-PSM: Phase Slope Magnitude Imaging

    MRI-PSM: Phase Slope Magnitude Imaging

    Generate positive-contrast images emphasizing magnetic field variation

    Moved to: http://parkermills.github.io/MRI-PSM/
    Downloads: 0 This Week
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  • 5

    DCTV

    DUAL CONSTRAINED TV-BASED REGULARIZATION ON GRAPHS

    Algorithms based on Total Variation (TV) minimization are prevalent in image processing. They play a key role in a variety of applications such as image denoising, compressive sensing and inverse problems in general. In this work, we extend the TV dual framework that includes Chambolle's and Gilboa-Osher's projection algorithms for TV minimization. We use a flexible graph data representation that allows us to generalize the constraint on the projection variable.
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  • 6
    The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
    Downloads: 0 This Week
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