![]() If reduced to 16 colours (4 bit depth) the same image would need only 100 Mb of memory.Īnd if reduced to 2 colours (1 bit depth) that image would required only 25 Mb of memory to load. So the same dimension image would required only 200 Mb of memory to load. However, if the image is reduced to 256 colours (8 bit depth) then only 1 byte is required per pixel. The image may have been scanned as full colour 24 or 32 bit depth, in which case 3 bytes are used for every pixel.įor example, if your image is 20000 pixels wide by 10000 pixels high, then you need 600 Mb of memory just to load the image. If your image is very large it may exceed the amount of memory in your PC during processing. There are a few reasons for which this option is useful. The Reduce Palette Colours function is available on the Image menu. Using (var newbitmap = DitheringType.Reduce Image Colours Reduce Palette Colours Using (var newbitmap = DitheringType.Burkes Using (var newbitmap = DitheringType.Sierra Using (var newbitmap = DitheringType.Stucki Using (var newbitmap = DitheringType.Jarvis Using (var newbitmap = DitheringType.Fan Using (var newbitmap = DitheringType.FloydSteinberg Using (var newbitmap = DitheringType.OrderedSpiral4 ĬolorConverter.DitheringIntensity = 0.1f ĬolorConverter.Dithering = DitheringType.Original Using (var newbitmap = DitheringType.OrderedBayer4 Here is a simple example which converts an image to an 8-bit indexed image with defaultĬ# using (var bitmap = new (var colorConverter = new ColorConverter())ĬolorConverter.Palette = ColorPalette.Create(bitmap, 32) ĬolorConverter.DestinationPixelFormat = PixelFormat.Format8bppIndexed ĬolorConverter.Dithering = DitheringType.None ĬolorConverter.Dithering = DitheringType.Noise ĬolorConverter.DitheringIntensity = 0.5f ĬolorConverter.Dithering = DitheringType.OrderedBayer2 To set dithering settings and the Palette property You can specify a dithering parameters using theĪnd type of palette to be utilized for conversion using the Palette property. This method is easy to use, it has only one argument - the target pixel format. There are two ways to convert pixels to an indexed pixel format: Techniques above while changing pixel format. Ordered dithering approximates color blends using fixed patterns as a result, solid colors are emphasized and edges appear harder.Įrror diffusion scatters pixels irregularly, making edges and colors softer, but it takes much more time than the other algorithms. Noise dithering works very quickly but produces noisy images. The result of noise dithering while creating a 32 color image:Īll dithering algorithms have advantages and disadvantages. ![]() The noise dithering algorithm builds patterns randomly, adding a random number in the range to each pixel There are 3 main algorithms in the dithering class: When 0% intensity is used, no dithering is enabled. One of the dithering parameters is intensity - the ratio between the images withĪnd without dithering. Which are not available in the palette, by organizing pixels in a special way.ĭithering introduces patterns into an image which are perceived by the eyes as new colors, but these are colors which are not available in the palette. The main idea of these algorithms is the approximation of image colors Illusions in images with a limited color palette. C# using (var bitmap = new = new is an algorithm class which allows the creation of color depth
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