Abstract
As stated in Chapter 1, an image is a representation of an object. Technically speaking, images are two-dimensional signals received by the human visual system. When an image is digitized, it becomes a digital image. The most basic requirement for digital image compression is the digitization of an image object (or simply an image) such as a physical picture, a document page, and the like. The digitization of an image involves two processes, sampling and quantization. The sampling process maps a physical image into an array of pixels by spatially sampling points of the physical image. The quantization process on the other hand, uses a limited number of bits to represent each pixel.
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© 1995 Springer Science+Business Media New York
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Kou, W. (1995). Compression Algorithm Fundamentals. In: Digital Image Compression. The Springer International Series in Engineering and Computer Science, vol 333. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2361-8_2
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DOI: https://doi.org/10.1007/978-1-4757-2361-8_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5156-4
Online ISBN: 978-1-4757-2361-8
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