Digital Image Processing by Professor Dr. Bernd Jähne (auth.)

By Professor Dr. Bernd Jähne (auth.)

Since the 1st version of "Digital photograph Processing" used to be released in 1991 it has came upon its solution to many desks and school rooms. The booklet deals an quintessential view of snapshot processing from photograph acquisition to the extraction of the knowledge of curiosity. The dialogue of the overall strategies is supplemented with examples from functions on PC-based photograph processing platforms and ready-to-use implementations of vital algorithms.
The 6th variation has been revised and prolonged. the entire textbook is now sincerely partitioned into simple and complex fabric for you to take care of the ever-increasing box of electronic snapshot processing. during this means, you could first paintings your manner throughout the easy rules of electronic snapshot processing with no getting crushed via the wealth of the fabric after which expand your reports to chose subject matters of curiosity. every one bankruptcy now comprises workouts that assist you to check your knowing, educate your talents, and introduce you to real-world picture processing initiatives. a big a part of the workouts is a wealth of interactive machine routines, which hide all themes of this textbook.

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Extra resources for Digital Image Processing

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1 Introduction This chapter centers around the question of how to represent the information contained in images. Together with the next two chapters it lays the mathematical foundations for low-level image processing. Two key points are emphasized in this chapter. First, the information contained in images can be represented in entirely different ways. 3). These representations just look at spatial data from different points of view. Since the various representations are complete and equivalent, they can be converted into each other.

9: A high-contrast scene captured by a CCD camera with a linear contrast and a a small and b a large aperture. The human visual system shows rather a logarithmic than a linear response. This means that we perceive relative and not absolute luminance differences equally well. In a wide range of luminance values, we can resolve relative differences of about 2%. This threshold value depends on a number of factors, especially the spatial frequency (wavelength) of the pattern used for the experiment. At a certain wavelength the luminance resolution is optimal.

Driver assistance system. A driver assistance system detects the road lane and traffic signs with a camera system, which has a spatial resolution of 640 × 480 pixel and takes 25 frames/s. The camera delivers color images with the three color channels red, green, and blue. Which rate of image data (MB/s) must be processed in real time? 4. Medical volumetric image sequences. A fast computer tomographic systems for dynamic medical diagnosis takes volumetric images with a spatial resolution of 256 × 256 × 256 and a repetition rate of 10 frames/s.

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