IntroductionlColorResolutionAndDithering Class

Imaging

For a list of all members of this type, see IntroductionlColorResolutionAndDithering members.

Inheritance Hierarchy

System.Object
   Leadtools.Topics.IntroductionlColorResolutionAndDithering

Syntax

[Visual Basic]
Public Class IntroductionlColorResolutionAndDithering 

[C#]
public class IntroductionlColorResolutionAndDithering 

[C++]
public __gc class IntroductionlColorResolutionAndDithering 

[C++/CLI]
public ref class IntroductionlColorResolutionAndDithering 

Remarks

Color resolution (also called color depth) refers to the number of possible colors in an image, as determined by the bits-per-pixel. If an image in your computer is loaded from a FAX scanner or received as a FAX transmission, it is a black-and-white (1-bit) image. If it is loaded from a color scanner or a JPEG file, it can have 16 million colors. If it is loaded from a GIF file, it is likely to have 256 colors. There are many possibilities, ranging from two colors to 16 million.

LEADTOOLS lets you manipulate an image and display it on any Windows-compatible device, regardless of the image's color resolution. Therefore, in most cases you can load, display, modify, and save an image without ever changing its color resolution. Nevertheless, in some cases you may need to increase or decrease the color resolution. Here are some examples:

• Suppose you need to load a large 24-bit image on a computer that does not have much memory. You can conserve memory by loading it as an 8-bit image. Then, if you were using an 8-bit display device, you would not see any difference in the quality of the image. Of course, there would be some loss of quality on a 24-bit display device, and the loss would be permanent if you then saved the image in the same file.
• Suppose you want to save an image in a different file format. If the new file format does not support the original color resolution, you can specify a different color resolution when you save the image.
• Suppose you want to combine one 8-bit image with another one. To combine two images, they must have the same color resolution, and if they are less than 16 bits per pixel, they must use the same palette. The simplest solution is to convert both images to 24 bits per pixel before combining them. Then, if necessary, you can reduce the color resolution of the combined image.

Whenever you reduce an image's color resolution to 8 bits per pixel or less, a dithering method comes into play. One alternative is to use a nearest-color match (no dithering), which means that the color of each pixel is changed to the palette color that most closely matches it. If the original image contains subtle color details, the result of a nearest-color match may have large blotches of color that are not very pleasing.

Dithering methods create the appearance of more subtle shades by mixing in pixels of different colors. This is similar to the way newspaper pictures produce the appearance of shades of gray, even though the only actual colors are black and white.

Ordered dithering is the fastest method. It is the default dithering method when painting to a display device that is 256 colors or less. Ordered dithering takes advantage of the fact that the colors in most palettes are ordered so that similar shades are next to each other in the palette. This method avoids blotches of color by adding to or subtracting from the nearest-color value of each pixel to ensure that adjacent pixels do not have exactly the same color. (If the colors in the palette are not ordered, the results are not good.)

All of the other dithering methods in LEADTOOLS use error-diffusion algorithms. In error diffusion, the error is the difference between the original pixel color and the nearest match, and diffusion of this error is what the algorithm accomplishes. Floyd-Steinberg is a high-quality, fast error-diffusion method. It is the default method that LEADTOOLS uses if you reduce the color resolution when loading or saving an image, or if you specify error diffusion as the dithering method when painting to a display device that is 256 colors or less.

If you use a LEADTOOLS method to change the color resolution of a image in memory, you can choose from a list of possible dithering methods. All of the alternative error-diffusion methods are slower than Floyd-Steinberg, and the quality may or may not be better, depending on the original image, and depending on whether the resulting image is to be displayed or printed. Choosing an alternative dithering method is a subjective, trial-and-error decision. Stevenson and Arce dithering, the slowest of the alternatives, is most likely to produce a higher quality result.

There is a family of Reference Output Medium Metric (ROMM) BGR Color encodings that is a wide-primary output-referred extended color-gamut BGR color encoding. These encodings are used by digital still picture imaging systems to manipulate, store, transmit, display and print digital images. Unlike sRGB color encoding, the range of colors is not limited to those colors that can be displayed on a CRT monitor, and unlike e-sRGB, these encodings do not use negative RGB colorimetry co-ordinates.

ROMM color order can be used only with 24 or 48-bit images and is supported by the CMP/JPEG/Exif JPEG/JTIF/TIFF CMP file formats. There are colors that can be represented in RGB, but not in ROMM.  Conversely, there are colors that can be represented in ROMM that cannot be represented in RGB. If you convert from one to the other you lose the colors that can be represented only in one of the colorspaces. 

Target Platforms: Microsoft .NET Framework 2.0, Windows 98, Windows NT 4.0, Windows Millennium Edition, Windows 2000, Windows XP Home Edition, Windows XP Professional, Windows Server 2003 family