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Aspose.Imaging  for Python
DJVU

Use Python for DJVU Images Compression

Create Python Apps to Compress DJVU Images and Photos via Server APIs

How to Compress DJVU Images and Photos with Python

The adapting of images for publishing includes not only creative processes but also technical adjustments, such as file compression. Generally, high-resolution images are necessary for printed materials or outdoor advertising, whereas websites may face challenges with large file sizes. Image compression settings can vary depending on their intended use and where they will be published. Large files can take a considerable amount of time to download, especially on mobile connections, impacting the overall user experience. However, overly compressed images might suffer from blurriness and visible pixelation, undermining the visual quality. Achieving a balance between file size and image quality requires a careful selection of algorithms and compression levels. To compress images in DJVU format, we’ll employ Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform. You may install it using the following command from your system command.

The system command line

>> pip install aspose-imaging-python-net

Steps to Compress DJVU via Python

You need the aspose-imaging-python-net to try the following workflow in your own environment.

  • load DJVU files with Image.Load method;
  • compress images;
  • save compressed image to disc in the supported by Aspose.Imaging format.

System Requirements

Aspose.Imaging for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.

  • Microsoft Windows / Linux with .NET Core Runtime.
  • Python and PyPi package manager.
 

Compress DJVU images - Python

 
  • About Aspose.Imaging for Python API

    Aspose.Imaging API is an image processing solution to create, modify, draw or convert images (photos) within applications. It offers: cross-platform Image processing, including but not limited to conversions between various image formats (including uniform multi-page or multi-frame image processing), modifications such as drawing, working with graphic primitives, transformations (resize, crop, flip&rotate, binarization, grayscale, adjust), advanced image manipulation features (filtering, dithering, masking, deskewing), and memory optimization strategies. It’s a standalone library and does not depend on any software for image operations. One can easily add high-performance image conversion features with native APIs within projects. These are 100% private on-premise APIs and images are processed at your servers.

    Compress DJVU via Online App

    Compress DJVU documents by visiting our Live Demos website The live demo has the following benefits

      No need to download or setup anything
      No need to write any code
      Just upload your DJVU files and hit "Compress now" button
      Instantly get the download link for the resultant file

    DJVU What is DJVU File Format

    DjVu, pronounced as “déjà vu”, is a graphics file format intended for scanned documents and books especially those which contain the combination of text, drawings, images and photographs. It was developed by AT&T Labs. It uses multiple techniques like image layer separation of text and background images, progressive loading, arithmetic coding and lossy compression for bitonal images. Since DJVU file can contain compressed yet high-quality colour images, photographs, text, and drawings and can be saved in less space therefore, it's used on web as eBooks, manuals, newspapers, ancient documents, etc.

    Read More

    Other Supported Compress Formats

    Using Python, one can easily compress different formats including:

    APNG (Animated Portable Network Graphics)
    BMP (Bitmap Picture)
    ICO (Windows icon)
    JPG (Joint Photographic Experts Group)
    JPEG (Joint Photographic Experts Group)
    DIB (Device Independent Bitmap)
    DICOM (Digital Imaging & Communications)
    DNG (Digital Camera Image)
    EMF (Enhanced Metafile Format)
    EMZ (Windows Compressed Enhanced Metafile)
    GIF (Graphical Interchange Format)
    JP2 (JPEG 2000)
    J2K (Wavelet Compressed Image)
    PNG (Portable Network Graphics)
    TIFF (Tagged Image Format)
    TIF (Tagged Image Format)
    WEBP (Raster Web Image)
    WMF (Microsoft Windows Metafile)
    WMZ (Compressed Windows Media Player Skin)
    TGA (Targa Graphic)
    SVG (Scalable Vector Graphics)
    EPS (Encapsulated PostScript Language)
    CDR (Vector Drawing Image)
    CMX (Corel Exchange Image)
    OTG (OpenDocument Standard)
    ODG (Apache OpenOffice Draw Format)