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chapter 14, Hierarchical Coding

In IV Lossy Compression Techniques from: Digital Image Compression Techniques
Author(s): Majid Rabbani, Paul W. Jones
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Chapter Contents

  • 14.1 Progressive Transmission
  • 14.2 Multiuse Environments
  • 14.3 Image Hierarchies
  • 14.4 Fixed-Resolution Hierarchies
  • 14.4.1 Bit planes
  • 14.4.2 Tree-structured VQ
  • 14.4.3 Transform-based hierarchical coding
  • 14.5 Variable-Resolution Hierarchies
  • 14.5.1 Subsampling pyramid
  • 14.5.2 Mean pyramids
  • 14.5.3 Knowlton's technique
  • 14.5.4 Prediction/residual pyramid
  • 14.5.5 Hierarchical interpolation
  • 14.5.6 Subband pyramid

Excerpt

In hierarchical coding, image data are encoded in such a way that it is possible to access a given image at different quality levels or resolutions. For example, in searching an image database, hierarchical coding allows the user to initially access a low-quality version of an image (at a correspondingly low bit rate) in order to determine if the image is the desired one. Additional data can then be transmitted in stages to further refine the image. This type of scheme is termed progressive transmission. As another example, an image database might be used to support a number of output devices, each having a different resolution. A hierarchical coding scheme allows for each device to efficiently access a version of the image with the appropriate resolution. This is an example of a multiuse environment. We now discuss in more detail the concepts and desired characteristics of schemes for progressive transmission and multiuse environments. This is followed by descriptions of various image hierarchies that are useful for such applications.

14.1 Progressive Transmission

In progressive transmission (PT), partial image information is transmitted in stages, and at each stage, an approximation to the original image is reconstructed at the receiver. The reconstructed images progressively improve as more information is received. Progressive transmission is motivated by the need to transmit images over low-bandwidth channels (relative to the amount of data), e.g., telephone lines, particularly in those cases where quick recognition is important or total transmission time may be limited. Examples of this scenario include telebrowsing, where a remote image database is searched for a particular image or images, and photojournalism or military applications, where a user may have only limited access to communication channels.



©1991 Society of Photo-Optical Instrumentation Engineers
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Print ISBN:

9780819406484

Print ISBN:

0819406481

eISBN:

9780819478528

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