Grayscale JP2 images via C#
Build your own .NET apps to grayscale JP2 image files using server-side APIs
Aspose.Imaging for .NET
Overview
How to Grayscale JP2 Files Using C#
Brightness and multicolor are the companions of beautiful images. However, color printing isn’t always feasible. In such cases, converting a photo into grayscale becomes necessary. Additionally, this function can be utilized as an independent artistic approach, enhancing the appeal of your website. Instead of regretting the loss of color information during this transition, which might potentially hinder perception, leverage it to your advantage. Concentrate on the image’s details, surface textures, and the interplay of light and dark areas to craft a distinctive visual experience. In order to grayscale JP2 files, 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 Grayscale JP2 via C#
You need the aspose.imaging.dll to try the following workflow in your own environment.
- load JP2 files with Image.Load method;
- grayscale image;
- save grayscaled image to disc in the supported by Aspose.Imaging format.
System Requirements
Aspose.Imaging for .NET is supported on all major operating systems. Just 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.
Grayscale JP2 images - .NET
| using Aspose.Imaging; | |
| using Aspose.Imaging.FileFormats.Bmp; | |
| using Aspose.Imaging.FileFormats.Dicom; | |
| using Aspose.Imaging.FileFormats.Emf; | |
| using Aspose.Imaging.FileFormats.Jpeg; | |
| using Aspose.Imaging.FileFormats.Jpeg2000; | |
| using Aspose.Imaging.FileFormats.Png; | |
| using Aspose.Imaging.FileFormats.Psd; | |
| using Aspose.Imaging.FileFormats.Tiff.Enums; | |
| using Aspose.Imaging.ImageFilters.FilterOptions; | |
| using Aspose.Imaging.ImageOptions; | |
| using Aspose.Imaging.Masking; | |
| using Aspose.Imaging.Masking.Options; | |
| using Aspose.Imaging.Masking.Result; | |
| using Aspose.Imaging.Sources; | |
| using System; | |
| using System.Collections.Generic; | |
| using System.IO; | |
| using System.Linq; | |
| string templatesFolder = @"c:\Users\USER\Downloads"; | |
| GrayscaleImages(); | |
| void GrayscaleImages() | |
| { | |
| List<string> rasterFormats = new List<string>() { "jpg", "png", "bmp", "apng", "dicom", | |
| "jp2", "j2k", "tga", "webp", "tif", "gif","ico" }; | |
| List<string> vectorFormats = new List<string>() { "svg", "otg", "odg", "eps", "wmf", "emf", "wmz", "emz", "cmx", "cdr" }; | |
| List<string> allFormats = new List<string>(rasterFormats); | |
| allFormats.AddRange(vectorFormats); | |
| allFormats.ForEach( | |
| formatExt => | |
| { | |
| var inputFile = Path.Combine(templatesFolder, $"template.{formatExt}"); | |
| bool isVectorFormat = vectorFormats.IndexOf(formatExt) > -1; | |
| //Need to rasterize vector formats before background remove | |
| if (isVectorFormat) | |
| { | |
| inputFile = RasterizeVectorImage(formatExt, inputFile); | |
| } | |
| var outputFile = Path.Combine(templatesFolder, $"grayscale_{formatExt}.png"); | |
| Console.WriteLine($"Processing {formatExt}"); | |
| using (var image = (RasterImage)Image.Load(inputFile)) | |
| { | |
| //Additional code examples can be found at | |
| //https://apireference.aspose.com/imaging/net/aspose.imaging/rasterimage/methods/grayscale | |
| image.Grayscale(); | |
| //If image is multipage save each page to png to demonstrate results | |
| if (image is IMultipageImage multiPage && multiPage.PageCount > 1) | |
| { | |
| for (var pageIndex = 0; pageIndex < multiPage.PageCount; pageIndex++) | |
| { | |
| string fileName = $"grayscale_page{pageIndex}_{formatExt}.png"; | |
| multiPage.Pages[pageIndex].Save(templatesFolder + fileName, new PngOptions()); | |
| File.Delete(templatesFolder + fileName); | |
| } | |
| } | |
| else | |
| { | |
| image.Save(outputFile, new PngOptions()); | |
| File.Delete(outputFile); | |
| } | |
| } | |
| //Remove rasterized vector image | |
| if (isVectorFormat) | |
| { | |
| File.Delete(inputFile); | |
| } | |
| } | |
| ); | |
| } | |
| string RasterizeVectorImage(string formatExt, string inputFile) | |
| { | |
| string outputFile = Path.Combine(templatesFolder, $"rasterized.{formatExt}.png"); | |
| using (var image = Image.Load(inputFile)) | |
| { | |
| image.Save(outputFile, new PngOptions()); | |
| } | |
| return outputFile; | |
| } |
About Aspose.Imaging for .NET 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.Grayscale JP2 via Online App
Grayscale JP2 documents by visiting our Live Demos website The live demo has the following benefits
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 MoreOther Supported Grayscale Formats
Using C#, you can easily grayscale different formats including: