Showing 5 open source projects for "reduce"

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    bild

    bild

    Image processing algorithms in pure Go

    ...The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. ...
    Downloads: 0 This Week
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  • 2

    libsombrero

    Astronomical object/structure detection from 1D and 2D data sets.

    Sombrero is a fast wavelet image processing and object detection C library for astronomical images. Sombrero is named after the "Mexican Hat" shape of the wavelet masks used in image convolution and is released under the GNU LGPL library.
    Downloads: 0 This Week
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  • 3
    Mozilla JPEG Encoder Project

    Mozilla JPEG Encoder Project

    Improved JPEG encoder

    ...We encourage authors of graphics programs to use libjpeg's C API and link with MozJPEG library instead. Progressive encoding with "jpegrescan" optimization. It can be applied to any JPEG file (with jpegtran) to losslessly reduce file size.
    Downloads: 4 This Week
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  • 4

    connhim2000

    image processing, open e-commerce, enterprise information systems

    An efficient program to reduce black and white scanned image size for internet usage. I have implemented some filters which reduce the image size while still maintain logical data from black and white scanned images. Free and opensource for General Public use.
    Downloads: 0 This Week
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  • 5

    EMGU Kalman Filter

    Kalman Filter for EMGU Image Processing Applications

    ...Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal. The discrete-time equivalent of Wiener's work was derived independently by Kolmogorov and published in 1941. Hence the theory is often called the Wiener-Kolmogorov filtering theory. In these examples the signal processes is the movement of the mouse and random data. ...
    Downloads: 0 This Week
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