Titlebook: Digital Image Processing; An Algorithmic Intro Wilhelm Burger,Mark J. Burge Textbook 20162nd edition Springer-Verlag London Ltd., part of S

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Colorimetric Color Spaces,te necessity. For example, color calibration is routinely used throughout the digital print work flow but also in digital film production, professional photography, image databases, etc. One may have experienced how difficult it is, for example, to render a good photograph on a color laser printer,

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Edge Detection in Color Images,nd accurately is an important task. Basic techniques for edge detection in . images are discussed in Chapter 6. . images contain richer information than grayscale images and it appears natural to assume that edge detection methods based on color should outperform their monochromatic counterparts. Fo

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Edge-Preserving Smoothing Filters,easier extraction of meaningful information in subsequent steps, for example, in segmentation or feature detection. Simple smoothing filters, such as the Gaussian filter1 and the filters discussed in Chapter 15 effectively perform low-pass filtering and thus remove high-frequency noise. However, the

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Filters, . position. The capabilities of point operations are limited, however. For example, they cannot accomplish the task of . or . an image (Fig. 5.1). This is what filters can do. They are similar to point operations in the sense that they also produce a 1:1 mapping of the image coordinates, that is, the geometry of the image does not change.

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