Management of large sets of image data by Karol Kozak
Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization written by Karol Kozak. A digital image is a numeric representation (normally binary) of a two-dimensional image. Depending on whether the image resolution is fixed, it may be of vector or raster type. By itself, the term â€œdigital imageâ€ usually refers to raster images or bitmapped images. Digital images may be produced in black and white (bitonal), gray scale, or color. Digital images are composed of very small picture elements â€“ called pixels â€“ lined up in rows and columns. Because pixels are the smallest picture elements, the pixel size determines how much detail will appear in the image: the smaller the pixels, the more pixels can appear in a given area, which results in higher resolution.
Pixels are bundles of digital information about the color of a specific spot in the image. Basic image parameters are: pixel per inch, dots per inch, type of image (black & white, color), resolution, image depth, brightness, dynamic range, contrast, saturation, sharpness, image size and artifact. In this book the readers will read Digital image, History of digital imaging, Amount of produced images â€“ is it danger? Digital image and privacy, Digital cameras, Methods of image capture, Image formats, Image Metadata â€“ data about data, Interactive visualization (IV), Basic of image processing, Image processing software, Image management and image databases, Operating system (OS) and images, Graphics processing unit (GPU), Storage and archive, Images in different disciplines, Microscopy, Medical imaging, Astronomical images, Industrial imaging, Selection of best digital images and much more.
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