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Aspose.Imaging  for Python
J2K

Use Python for J2K Images Dithering

Create Python Apps to Dither J2K Images and Photos via Server APIs

How to Dither J2K Images and Photos with Python

Enhancing image and photo parameters for a website significantly impacts web traffic. Among these optimizations, reducing an image’s color palette effectively minimizes file sizes and accelerates page loading. Yet, to prevent abrupt edges or disturbances in color gradients, leveraging the dithering method is recommended. This technique aids in refining color transitions and enhancing overall image quality. It introduces a slight “noise” that positively influences image perception. For dither images in the J2K format, we’ll apply 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 Dither J2K via Python

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

  • load J2K files with Image.Load method;
  • dither image;
  • save dithered 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.
 

Dither J2K 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.

    Dither J2K via Online App

    Dither J2K 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 J2K files and hit "Dither now" button
      Instantly get the download link for the resultant file

    J2K What is J2K File Format

    A J2K file is an image that is compressed using the wavelet compression instead of DCT compression.

    Read More

    Other Supported Dither Formats

    Using Python, one can easily Dither 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)
    DJVU (Graphics Format)
    DNG (Digital Camera Image)
    EMF (Enhanced Metafile Format)
    EMZ (Windows Compressed Enhanced Metafile)
    GIF (Graphical Interchange Format)
    JP2 (JPEG 2000)
    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)