By Kenny A. Hunt
ISBN-10: 1439865590
ISBN-13: 9781439865590
ISBN-10: 1568817177
ISBN-13: 9781568817170
While so much different photograph processing texts process this topic from an engineering perspective, The paintings of picture Processing with Java locations photo processing in the realm of either engineering and machine technological know-how scholars through emphasizing software program layout. excellent for students learning machine technology or software program engineering, it essentially teaches them the basics of picture processing. followed through wealthy illustrations that reveal the result of appearing processing on famous artwork items, the textual content builds an obtainable mathematical origin and contains vast pattern Java code. every one bankruptcy presents routines to aid scholars grasp the material.
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Additional info for The art of image processing with Java
Example text
9 illustrates the effect of image resolution on image quality by allowing the pixel resolution to vary while holding other image attributes constant. 4 Frequency The pixels within an image form patterns of varying intensities that are often described in terms of frequency. The frequency of an image is a measure of the amount of change in color that occurs over spatial distance, which is usually measured in terms of pixels. Regions of an image that contain large color change over a small distance are characterized as high frequency regions.
Since matching the characteristics of a particular color model to the requirements of a particular application is an important task in the design of an image processing system, it is important to understand how color models are designed along with their properties. The following subsections discuss the most commonly used color models for image processing applications and describe their basic properties in greater detail. 1 RGB Color Model The RGB color model is the most common way of representing color in image processing systems.
4. 10. Image frequency. characterized by relatively moderate frequency since the color variance is moderate over a smaller number of pixels, while region C can be characterized as a relatively high frequency region of the image. Analyzing image content in terms of frequencies is fundamental to much of image processing and is further detailed in Chapter 9. In summary then, a digital image can be characterized by its resolution, color depth, and color model in addition to frequency content. Since each of these attributes affects image quality, careful selection of resolution, color depth, and color model are crucial when developing an image processing system.