Use Python for SVGZ to DICOM Images Conversion
Create Python Apps to Convert SVGZ to DICOM Images and Photos via Server APIs
Aspose.Imaging for Python
Overview
How to Convert SVGZ to DICOM Images and Photos with Python
Image files conversion from one format to another is a common task encountered by every graphic designer. The efficiency and excellence in converting files not only impact the speed of completion but also play a crucial role in assessing the overall work quality. Concerning the images sources, they frequently necessitate transformation into alternative formats more suited for printing or online distribution. An image crafted in a graphic editor is likely to be in vector format. In such instances, for website publication, it must undergo rasterization and be saved in a raster format. You have the option to convert the image in an uncompressed format for superior quality or save it to a lossless compressed format to minimize the file size. For scenarios where file size reduction is obligatory, like in website applications, there’s the possibility of conversion to lossy compression formats. Specialized data compression algorithms for images can significantly diminish file size while upholding acceptable image quality, ensuring swift image loading. To convert images and photos from SVGZ to DICOM, we will 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 Convert SVGZ to DICOM via Python
Developers can easily load & convert SVGZ files to DICOM in just a few lines of code.
- load SVGZ file with Image.Load method;
- create & set the instance of required subclass of ImageOptionsBase (e.g. BmpOptions, PngOptions, etc.);
- call the Image.Save method;
- pass file path with DICOM extension & object of ImageOptionsBase class.
System Requirements
Before running the conversion example code, make sure that you have the following prerequisites:
- Operating system: Windows or Linux.
- Development environment: Supports .NET Core 7 and higher, such as Microsoft Visual Studio.
Free App to Convert SVGZ to DICOM
- Select or drag and drop SVGZ image
- Choose format and click Convert button
- Click Download button to download DICOM image
Check our live demos to convert SVGZ to DICOM
Convert SVGZ to DICOM - Python
SVGZ What is SVGZ File Format
A file with .svgz extension is a compressed version of Scalable Vector Graphics (.SVG) file. It is compressed with gzip compression and contains data in XML format. SVGZ files support transparency, gradients, animations, and filters. SVGZ files are smaller in size as compared to the default SVG files and this reduced file size helps transfer the graphics files online. Graphics designer create SVGZ files using tools like Adobe Illustrator, Corel PaintShop Pro, and others. However, SVGZ files can be generated by enabling GZip compression in the Apache Server while sending out the image data.
Read More | SVGZDICOM What is DICOM File Format
DICOM is the acronym for Digital Imaging and Communications in Medicine and pertains to the field of Medical Informatics. DICOM is the combination of file format definition and a network communications protocol. DICOM uses the .DCM extension. .DCM exist in two different formats i.e. format 1.x and format 2.x. DCM Format 1.x is further available in two versions normal and extended. DICOM is used for the integration of medical imaging devices like printers, servers, scanners etc from various vendors and also contains identification data of each patient for uniqueness. DICOM files can be shared between two parties if they are capable of receiving image data in DICOM format. The communication part of DICOM is application layer protocol and uses TCP/IP to communicate between entities. HTTP and HTTPS protocols are used for the web services of DICOM. Versions supported by web services are 1.0, 1.1, 2 or later.
Read More | DICOMOther Supported Conversions
Using Python, one can easily convert different formats including: