Kernel Filters for Images

Aspose.Imaging for Python via .NET 24.4 delivers support for kernel filters in images for tasks like blurring, sharpening, edge detection, and more within your Python code on macOS x64 systems.

Manipulate DICOM Tags

Manipulating DICOM tags in your Python imaging apps just got easier. We have now added the functionality to modify DICOM tags embedded within medical images. This feature allows you to expand the reach of your imaging solutions to the healthcare sector. The following example highlights how to edit DICOM tags using the Python API:

from aspose.pycore import as_of
from aspose.imaging import Image
from aspose.imaging.fileformats.dicom import DicomImage

with as_of(Image.load("ttfm.dcm"), DicomImage) as image:
    image.file_info.update_tag_at(33, "Test Patient") # "Patient's Name"
    image.file_info.add_tag("Angular View Vector", 234)
    image.file_info.remove_tag_at(29) # "Station Name"
    image.save("output.dcm")

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Optimized User Experience

macOS x64 developers can now utilize the ability to use easy base class descriptions which makes it convenient to understand and incorporate the library’s capabilities into your customized imaging solutions.

Accurate PDF Conversion

The latest update to our imaging API fixes the issues with converting a TIFF image with varying resolutions to PDF. This sample code shows how to convert a TIFF file containing different horizontal and vertical resolutions to PDF format.

from aspose.imaging import Image, RasterImage, SizeF, ResolutionSetting
from aspose.imaging.imageoptions import PdfOptions
from aspose.pycore import as_of

inputPath = "L232_20230920113909_033414.tif"
outputPath = inputPath + ".pdf"
with as_of(Image.load(inputPath), RasterImage) as image:
    pdf_options = PdfOptions()
    pdf_options.page_size = SizeF(image.width, image.height)
    pdf_options.resolution_settings = ResolutionSetting(image.horizontal_resolution, image.vertical_resolution)
    image.save(outputPath, pdf_options)

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Saving EPS Files as SVG Vectors

Seamlessly export EPS files as SVG with this Aspose.Imaging for Python via .NET API version. This ensures including text and improved performance for large SVG exports on macOS x64.

Convert CDR Files to DXF Format

Version 24.4 of the API sees various improvements added to fix the issues related to the inability to convert CDR images to DXF format. The following code snippet illustrates CDR to DXF conversion in Python:

from aspose.imaging import Image
from aspose.imaging.imageoptions import DxfOptions, VectorRasterizationOptions, PositioningTypes

with Image.load("Laser Cut Christmas Gift New Year Night Lamp CDR File.cdr") as image:
    dicom_options = DxfOptions()
    vector_options = VectorRasterizationOptions()
    vector_options.positioning = PositioningTypes.RELATIVE
    dicom_options.vector_rasterization_options = vector_options
    image.save("result.dxf", dicom_options)

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Wrap Text in EMF to PDF

Upgrade your image conversion apps with the ability to export EMF files to PDF format with improved text wrapping. This sample code showcases EMF to PDF conversion:

from aspose.pycore import as_of
from aspose.imaging import Image, Rectangle
from aspose.imaging.fileformats.emf import EmfImage

with as_of(Image.load("50123_pg1.emf"), EmfImage) as emfImage:
  # The original canvas is too large, resize to A4, 72 DPI
  emfImage.resize_canvas(Rectangle(0, 0, 595, 842))
  emfImage.save("50123_pg1.pdf")

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Public API Additions

Aspose.Imaging for Python via .NET API 24.4 includes various new classes, methods, enums, and properties to facilitate Python developers with a stable library and a great user experience on macOS x64 machines.

You can view the list of all new features, enhancements, and bug fixes introduced in this release by visiting Aspose.Imaging for Python via .NET 24.4 Release Notes.