Showing 5 open source projects for "wavelet"

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  • 1
    Sherloq

    Sherloq

    An open source digital image forensic toolset

    Sherloq is a research-oriented toolkit designed for digital image forensics, providing an integrated environment to experiment with algorithms for image analysis and tampering detection. Rather than functioning as an automated decision-making system, it serves as a companion tool for researchers, enthusiasts, and students who want to explore forensic techniques from scientific literature and workshops. The project emphasizes transparency and community collaboration, contrasting with...
    Downloads: 20 This Week
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  • 2
    Upscale-A-Video

    Upscale-A-Video

    Temporal-Consistent Diffusion Model for Real-World Video

    Upscale-A-Video is a diffusion-based video super-resolution project from the CVPR 2024 Highlight paper “Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution.” It upscales low-resolution videos while using text prompts to guide the enhancement process. The model is designed for real-world videos where compression artifacts, blur, aging, or generated-video defects can make ordinary upscaling less reliable. The repository includes inference code, example inputs,...
    Downloads: 1 This Week
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  • 3

    wmtsa-python

    Discrete wavelet methods for time series analysis using python

    Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices.
    Downloads: 0 This Week
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  • 4

    Electrophysiology & circular stats tools

    Data analysis and circular statistics with OpenElectrophy and R

    ...The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates.
    Downloads: 0 This Week
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  • 5
    1D/2D Discrete Wavelet Transform fully programmed in Python+Numpy. Homepage : http://wavepy.sourceforge.net
    Downloads: 0 This Week
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