Convert CMX to JP2 via C#
Transform CMX into JP2 using native .NET APIs without needing any image editor or 3rd-party libraries.
How to Convert CMX to JP2 Using C#
In order to convert CMX to JP2, we’ll use
Aspose.Imaging for .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for C# platform. Open NuGet package manager, search for Aspose.Imaging and install. You may also use the following command from the Package Manager Console.
Package Manager Console Command
PM> Install-Package Aspose.Imaging
Steps to Convert CMX to JP2 via C#
Developers can easily load & convert CMX files to JP2 in just a few lines of code.
- Load CMX 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 JP2 extension & object of ImageOptionsBase class
Before running the conversion example code, make sure that you have the following prerequisites.
- Microsoft Windows or a compatible OS with .NET Framework, .NET Core, Windows Application, ASP.NET Web Application.
- Development environment like Microsoft Visual Studio.
- Aspose.Imaging for .NET referenced in your project.
Convert CMX to JP2 - .NET
CMX What is CMX File Format
Files with CMX extension are Corel Exchange image file format that is used as presentation by CorelSuite applications. It contains image data as vector graphics as well as metadata that describes the image. CMX files can be opened by CorelDraw, Corel Presentations, Paint Shop Pro and some versions of Adobe Illustrator.Read More
JP2 What is JP2 File Format
JPEG 2000 (JP2) is an image coding system and state-of-the-art image compression standard. Designed, using wavelet technology JPEG 2000 can code lossless content in any quality at once. Moreover, without any substantial penalty in coding efficiency, JPEG 2000 have the capability to access and decode the same content efficaciously into a variety of other resolutions and qualities. The code streams in JPEG 2000 is significantly scalable having regions of interest that provide the facility for spatial random access. Possessing Up to 16384 diverse components with the dimensions in terapixels, and precision that can be high as 38 bits/sample.Read More
Other Supported Conversions
Using C#, one can easily convert different formats including.