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Download e-book for kindle: Advances in Imaging and Electron Physics by Peter W. Hawkes

By Peter W. Hawkes

ISBN-10: 0123810175

ISBN-13: 9780123810175

Advances in Imaging and Electron Physics merges long-running serials--Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. This sequence beneficial properties prolonged articles at the physics of electron units (especially semiconductor devices), particle optics at low and high energies, microlithography, photo technological know-how and electronic picture processing, electromagnetic wave propagation, electron microscopy, and the computing equipment utilized in some of these domain names. * Contributions from best overseas students and specialists * Discusses sizzling subject components and offers present and destiny learn tendencies * valuable reference and advisor for physicists, engineers and mathematicians

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Trans. Roy. Soc. London 92, 210–271. Yule, J. A. , and Nielsen, W. J. (1951). The penetration of light into paper and its effect on halftone reproduction. In ‘‘TAGA Proceedings’’ pp. 65–75. Technical Association of the Graphic Arts, Sewickley, PA. , and Simon, K. (2006). Continuity of gamut mapping algorithms. J. Electron. Imaging 15(1), 13004. , and Simon, K. (2007). Retaining local image information in gamut mapping algorithms. IEEE Trans. Image Process 16(3), 664–672. Chapter 2 Color Area Morphology Scale-Spaces Adrian N.

However, the reversal is not straightforward. A number of problems need to be resolved; for example, in general not all colors are reproducible by the destination device (out-ofgamut colors). For out-of-gamut colors the device characterization is not 12 Zofia Baran´czuk et al. invertible. Gamut mapping is basically a solution to this problem and the topic of this chapter. Another issue is that the inversion is overdetermined for destination devices with more than three colors. This problem can be handled by using a predefined color separation strategy.

Gamut is approximated by some ‘‘simple’’ covering shape within the working color space, and the boundary of the approximating shape is taken as the gamut boundary. A number of methods are known for computing covering shapes of image gamuts. , 2007). Note that the convex hull description usually overestimates the image gamut. Even device gamuts are generally not convex. Alpha shapes and flow shapes aim at mitigating this problem. Therefore, we are looking at SHAPE(C(x)), where C(x) is the image gamut (color content of the image x to be mapped), and SHAPE can be either the convex hull, an alpha shape, flow shape, or segment maximum shape.

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Advances in Imaging and Electron Physics by Peter W. Hawkes

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