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Floyd–Steinberg dithering
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Ordered dithering is a commonly used technique for halftone methods, can be said to be the most simple domain processing method. It is made from a matrix of fixed size threshold above the original grayscale image "mobile". If the grayscale values of the pixels in the original image is larger than the corresponding thresholds thresholds in the matrix, then shake the pixel has a value of 1 (white), otherwise to 0 (black).
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Using DCT for image enhancement
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DCT transform domain, using a formula for enhanced image quality. Is that in the case of keeping the same image, to shift more of the energy to high-frequency sound, looks more clearly stated. To fast for compression in the transmission process to enhance the images, DCT-domain image enhancement technology, it has become very urgent. DCT-domain image enhancement technique can eliminate the inverse transform to space and transform back into the computation of the DCT domain.
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MATLAB practice routine (image right)
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Image plane of shear is actually non-vertical projection of scenes in the projective plane. Shear causes graphic distortion in the images we see wrong cut two ways: horizontal shear and vertical shear. shear image geometric distortion in image is useful, common shear transform into shear transformation in the x direction and the y direction.
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MATLAB training program (horizontal/vertical shift
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Panning refers to an object or image along the vertical direction (overall) move horizontally or (overall) moving a phenomenon. In the plane, and refers to the plane, a graphic on the distance of all points in accordance with a direction made the same move, such a graphic motion is called the Translational motion of the graphic, known as panning. Translation does not change the shape and size of the graphic. Graphics by panning, corresponding segment equal corresponding angles are equal, corresponding points are connected by line segments are equal. It is an isometric isomorphism is affine transformation affine space a. It can be seen as adding a vector to every point, or move the center of the coordinate system results. That is to say, if a known vector, and is the point in space, and translation.
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Image rotation, nearest neighbor interpolation
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Nearest neighbor interpolation (nearest neighbor sampling method): Nearest neighbor interpolation of ideas is very simple. Through the inverse transform to get a floating point coordinates, to simple rounding, get an integer coordinates, the integer type corresponding to the pixel values are pixel-by-pixel value, in other words, take the nearest floating-point coordinates of upper-left corner point (for DIB is on the upper right, because the scan is stored in reverse order) corresponds to the pixel value. Thus, nearest neighbor interpolation is simple and intuitive, but image quality is not high
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