Showing 3 open source projects for "image processing in java"

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    Image processing algorithms in pure Go

    A collection of parallel 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.
    Downloads: 0 This Week
    Last Update:
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  • 2
    imagor

    imagor

    Fast, secure image processing server and Go library, using libvips

    Imagor is a fast, Docker-ready image processing server built in Go, ideal for on-the-fly image resizing, cropping, filtering, and optimization. It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Primitive Pictures

    Primitive Pictures

    Reproducing images with geometric primitives

    Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape.
    Downloads: 1 This Week
    Last Update:
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