Filter WMF images via C#
Build your own .NET apps to Filter WMF image files using server-side APIs
How to Filter WMF Files Using C#
Even the most perfect image can be enhanced further or transformed into a completely different and unique work of art. Apply filters to achieve a wide range of image effects. For instance, you can sharpen an image or, conversely, add a blur, smooth it, or eliminate color noise. Filters are also invaluable when you wish to impart uniqueness to your image. To achieve this, apply the desired effect or combine different effects. This approach allows you to refine color gradients, eliminate noise, and simultaneously enhance the sharpness of objects’ edges in the photo. In order to filter WMF 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 Filter WMF via C#
You need the aspose.imaging.dll to try the following workflow in your own environment.
- load WMF files with Image.Load method;
- filter image;
- save filtered 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.
Filter WMF 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"; | |
MedianFilter(); | |
void SmallRectangularFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/smallrectangularfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new SmallRectangularFilterOptions()); | |
}, "smallrectangular"); | |
} | |
void BigRectangularFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/bigrectangularfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new BigRectangularFilterOptions()); | |
}, "bigrectangular"); | |
} | |
void SharpenFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/sharpenfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new SharpenFilterOptions()); | |
}, "sharpen"); | |
} | |
void MotionWienerFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/motionwienerfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new MotionWienerFilterOptions(20, 2, 0)); | |
}, "motionwiener"); | |
} | |
void BilateralSmoothingFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/bilateralsmoothingfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new BilateralSmoothingFilterOptions()); | |
}, "bilateralsmoothing"); | |
} | |
void GaussBlurFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/gaussianblurfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new GaussianBlurFilterOptions(5, 4)); | |
}, "gaussblur"); | |
} | |
void GaussWienerFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/gausswienerfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new GaussWienerFilterOptions(5, 5)); | |
}, "gausswiener"); | |
} | |
void MedianFilter() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging.imagefilters.filteroptions/medianfilteroptions | |
var filterRect = new Aspose.Imaging.Rectangle(image.Width / 6, image.Height / 6, image.Width * 2 / 3, image.Height * 2 / 3); | |
image.Filter(filterRect, new MedianFilterOptions(20)); | |
}, "median"); | |
} | |
void FilterImages(Action<RasterImage> doFilter, string filterName) | |
{ | |
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, $"{filterName}_{formatExt}.png"); | |
Console.WriteLine($"Processing {formatExt}"); | |
using (var image = (RasterImage)Image.Load(inputFile)) | |
{ | |
doFilter(image); | |
//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 = $"{filterName}_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.Filter WMF via Online App
Filter WMF documents by visiting our Live Demos website The live demo has the following benefits
WMF What is WMF File Format
Files with WMF extension represent Microsoft Windows Metafile (WMF) for storing vector as well as bitmap-format images data. To be more accurate, WMF belongs to the vector file format category of Graphics file formats that is device independent. Windows Graphical Device Interface (GDI) uses the functions stored in a WMF file to display an image on the screen. A more enhanced version of WMF, known as Enhanced Meta Files (EMF), was published later that makes the format more feature rich. Practically, WMF are similar to SVG.
Read MoreOther Supported Filter Formats
Using C#, one can easily Filter different formats including: