Low-complexity transform and quantization in H.264/AVC

Microsoft (United States) · Nokia (Finland) · +1 more institution

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Abstract

This paper presents an overview of the transform and quantization designs in H.264. Unlike the popular 8/spl times/8 discrete cosine transform used in previous standards, the 4/spl times/4 transforms in H.264 can be computed exactly in integer arithmetic, thus avoiding inverse transform mismatch problems. The new transforms can also be computed without multiplications, just additions and shifts, in 16-bit arithmetic, thus minimizing computational complexity, especially for low-end processors. By using short tables, the new quantization formulas use multiplications but avoid divisions.

Citation impact

640
total citations
FWCI
46.22
Percentile
100%
References
12
Citations per year

Authors

4

Topics & keywords

Keywords
  • Discrete cosine transform
  • Quantization (signal processing)
  • Transform coding
  • Arithmetic
  • Algorithm
  • Computational complexity theory
  • Lapped transform
  • Mathematics
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