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JP2

Filter JP2 images via C#

Build your own .NET apps to Filter JP2 image files using server-side APIs

How to Filter JP2 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 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 Filter 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;
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 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";

	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;
	}

view raw filter-images.cs hosted with ❤ by GitHub

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 JP2 via Online App

Filter JP2 documents by visiting our Live Demos website The live demo has the following benefits

No need to download or setup anything

No need to write any code

Just upload your JP2 files and hit "Filter now" button

Instantly get the download link for the resultant file

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.

Other Supported Filter Formats

Using C#, one can easily Filter different formats including:

APNG (Animated Portable Network Graphics)

BMP (Bitmap Picture)

ICO (Windows icon)

JPG (Joint Photographic Experts Group)

JPEG (Joint Photographic Experts Group)

DIB (Device Independent Bitmap)

DICOM (Digital Imaging & Communications)

DJVU (Graphics Format)

DNG (Digital Camera Image)

EMF (Enhanced Metafile Format)

EMZ (Windows Compressed Enhanced Metafile)

GIF (Graphical Interchange Format)

J2K (Wavelet Compressed Image)

PNG (Portable Network Graphics)

TIFF (Tagged Image Format)

TIF (Tagged Image Format)

WEBP (Raster Web Image)

WMF (Microsoft Windows Metafile)

WMZ (Compressed Windows Media Player Skin)

TGA (Targa Graphic)

SVG (Scalable Vector Graphics)

AVIF

EPS (Encapsulated PostScript Language)

CDR (Vector Drawing Image)

CMX (Corel Exchange Image)

OTG (OpenDocument Standard)

ODG (Apache OpenOffice Draw Format)