Halftoning in Computer Graphics
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Halftoning is the process of converting a greyscale image to a binary image made up of black and white dots. In newspapers, halftoning simulates greyscale using patterns of black dots of varying sizes on a white background. Traditionally, halftoning was done photographically by projecting an image through a halftone screen with an etched grid onto film. Different screen frequencies control dot size. Digital halftoning techniques include patterning, which replaces each pixel with a pattern from a binary font, and dithering, which thresholds the image against a dither matrix to determine black and white pixels.
Halftoning in Computer Graphics
- 1. Halftoning
- 2. Halftoning Newspaper photographs simulate a greyscale, despite the fact that they have been printed using only black ink. • A newspaper picture is, in fact, made up of a pattern of tiny black dots of varying size. • The human visual system has a tendency to average brightness over small areas, so the black dots and their white background merge and are perceived as an intermediate shade of grey.
- 3. Halftoning The process of generating a binary pattern of black and white dots from an image is termed halftoning. In traditional newspaper and magazine production, this process is carried out photographically by projection of a transparency through a 'halftone screen' onto film. The screen is a glass plate with a grid etched into it. Different screens can be used to control the size and shape of the dots in the halftoned image.
- 4. Halftoning A fine grid, with a 'screen frequency' of 200-300 lines per inch, gives the image quality necessary for magazine production. A screen frequency of 85 lines per inch is deemed acceptable for newspapers.
- 5. Halftoning
- 6. Halftoning – dot size
- 7. Halftoning – Moire Patterns Repeated use of same dot pattern for particular shade results in repeated pattern Perceived as a moire pattern Instead, randomize halftone pattern
- 8. Patterning A simple digital halftoning technique known as patterning involves replacing each pixel by a pattern taken from a 'binary font'. We shows such a font, made up of ten 3 x 3 matrices of pixels. This font can be used to print an image consisting of ten grey levels.
- 9. Fig : A 3 x 3 binary font for printing a greyscale.
- 10. Patterning A pixel with a grey level of 0 is replaced by a matrix containing no white pixels; a pixel with a grey level of 1 is replaced by a matrix containing a single white pixel; and so on. Note that, since we are replacing each pixel by a 3 x 3 block of pixels, both the width and the height of the image increase by a factor of 3. Figure 5. 2 shows an example of halftoning using the binary font depicted in Figure 5. 1.
- 11. Fig: Halftoning with a binary font. (a) 8-bit image (b) halftoned image
- 12. Dithering Halftoning for color images
- 13. Specifying Color Color perception usually involves three quantities: Hue: Distinguishes between colors like red, green, blue, etc Saturation: How far the color is from a gray of equal intensity Lightness: The perceived intensity of a reflecting object Sometimes lightness is called brightness if the object is emitting light instead of reflecting it. In order to use color precisely in computer graphics, we need to be able to specify and measure colors.
- 14. Combining Colors Additive (RGB) Shining colored lights on a white ball Subtractive (CMYK) Mixing paint colors and illuminating with white light
- 15. How Do Artists Do It? Artists often specify color as tints, shades, and tones of saturated (pure) pigments • Tint: Gotten by adding white to a pure pigment, decreasing saturation • Shade: Gotten by adding black to a pure pigment, decreasing lightness • Tone: Gotten by adding white and black to a pure pigment White Pure Color Black Grays Tones
- 16. Dithering Dithering can be accomplished by thresholding the image against a dither matrix. The first two dither matrices, rescaled for application to 8-bit images, are
- 19. Dithering The elements of a dither matrix are thresholds. The matrix is laid like a tile over the entire image and each pixel value is compared with the corresponding threshold from the matrix. The pixel becomes white if its value exceeds the threshold or black otherwise. This approach produces an output image with the same dimensions as the input image, but with less detail visible.
- 20. Algorithm to halftone an image using a dither matrix. for all x & y do if f(x,y) > m(x,y) then g(x,y) = white else g(x,y) = black end if End for
- 21. Fig: Halftoning with dither matrices. (a) Input image. (b) Halftoned image using D1. (c) Halftoned image using D2
- 22. thanks to all