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Layered representations for image coding July 15, 1991 1 Layered representations for image coding
 

Summary: Layered representations for image coding July 15, 1991 1
Layered representations for image coding
Edward H. Adelson
Media Laboratory
Massachusetts Institute of Technology, Cambridge, MA 02139
e-mail: adelson@media-lab.media.mit.edu
1.0 Introduction
In order to represent a television image sequence with a minimal number of bits, it is nec-
essary to perform efficient image coding. Transform coding, subband coding, and vector
quantization are examples of popular techniques that have been applied to the coding of
still and moving images. In the case of moving image sequences, these techniques are
often combined with frame-differencing or motion compensation, to take advantage of the
temporal structure of image sequences.
Any image coding technique contains an implicit vocabulary and image model; that is, it
offers a way to describe images. For example, in a discrete cosine transform technique, an
image is described as a sum of cosine basis functions, and this forms the implicit image
model. If motion compensation is used for moving images, then the implicit image model
includes the idea that regions of the image move coherently across time.
There are three interrelated parts to the design of an image coding system: the encoding
process, the representation, and the decoding process. The choice of representation is the

  

Source: Adelson, Edward - Computer Science and Artificial Intelligence Laboratory, Department of Brain and Cognitive Science, Massachusetts Institute of Technology (MIT)

 

Collections: Biology and Medicine