Many image processing researchers which they develop on .NET/C# they still stuck in GDI+. That means, they still using the unsafe bracket and by pointers they get the image information. This has changed since the introduction of the Windows Presentation Foundation (WPF) for .NET Framework 3.0 and beyond. In this blog post, we will discuss how to open and process an image using the WPF tools. Let's consider that the image.png is a 32bits/pixel color image. To access the image pixels:
PngBitmapDecoder myImage = new PngBitmapDecoder(new Uri("image.png"), BitmapCreateOptions.DelayCreation, BitmapCacheOption.OnLoad);
byte myImageBytes = new byte [myImage.Frames.PixelWidth * 4 * myImage.Frames.PixelHeight];
myImage.Frames.CopyPixels(myImageBytes, myImage.Frames.PixelWidth * 4, 0);
At first line, a image object is created by using the pngbitmapdecoder class. The myImage.Frames collection holds the image information. In this example, an image is opened so the collection is equal to 1 and the picture is accessed by the myImage.Frames.
Then a byte array is created which it will hold the image pixels information. The CopyPixels function of the Frames is used to get the pixels of the opened image. In this particular example because the image format is Bgra32, the array byte size is equal to 4*Width*Height. In general, the ordering of bytes in the bitmap corresponds to the ordering of the letters B, G, R, and A in the property name. So in Bgra32 the order is Blue, Green, Red and Alpha. Generally, the image format for the image is accessed by myImage.Frames.Format and the palette (if the image is using one) by myImage.Frames.Palette.
To manipulate the image pixels in order to create a greyscale image:
int Width = myImage.Frames.PixelWidth;
int Height = myImage.Frames.PixelHeight;
for (int x = 0; x < Width; x++)
for (int y = 0; y < Height; y++)
int r = myImageBytes[4 * x + y * (4 * Width) + 2];
int g = myImageBytes[4 * x + y * (4 * Width) + 1];
int b = myImageBytes[4 * x + y * (4 * Width) + 0];
int greyvalue = (int)(0.3 * r + 0.59 * g + 0.11 * b);
myImageBytes[4 * x + y * (4 * Width) + 2] = (byte)greyvalue;
myImageBytes[4 * x + y * (4 * Width) + 1] = (byte)greyvalue;
myImageBytes[4 * x + y * (4 * Width) + 0] = (byte)greyvalue;
Finally, to create a new image object from the byte array and save it:
BitmapSource myNewImage = BitmapSource.Create(Width, Height, 96, 96, PixelFormats.Bgra32, null, myImageBytes, 4 * Width);
BmpBitmapEncoder enc = new
FileStream fs = newFileStream("newimage.png", FileMode.Create);
A BitmapSource object is created with the corresponding Width, Height and PixelFormat. Then a bmp encoder object is created to save the image as bmp format. A frame is added and the encoder save the image to the corresponding stream.
These programming tools for image manipulation are only a subset of those that they are available in WPF. For example is the WriteableBitmap Class which it is not an immutable object, suitable for dynamic images.
Dr Konstantinos Zagoris (email: firstname.lastname@example.org, personal web site: http://www.zagoris.gr) received the Diploma in Electrical and Computer Engineering in 2003 from Democritus University of Thrace, Greece and his phD from the same univercity in 2010. His research interests include document image retrieval, color image processing and analysis, document analysis, pattern recognition, databases and operating systems. He is a member of the Technical Chamber of Greece.