Compression Algorithm Fundamentals

  • Weidong Kou
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 333)


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.


Vector Quantizer Arithmetic Code Huffman Code Source Symbol Differential Pulse Code Modulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media New York 1995

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  • Weidong Kou

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