How to measure arithmetic complexity of compression algorithms: A simple solution

IEEE International Conference on Multi-Media and Expo

Volumn , Issue III/WEDNESDAY, 2000, Pages 1743-1746

  Reichel, J ^a   Nadenau, M J ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BANDWIDTH; BIT ERROR RATE; COMPUTATIONAL COMPLEXITY; IMAGE CODING; SIGNAL TO NOISE RATIO;

ALGORITHMIC COMPLEXITIES;

IMAGE COMPRESSION;

EID: 0034508021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Joint thresholding and quantizer selection for transform image coding: Entropy-constrained analysis and applications to baseline JPEG
2. Distortion/Decoding time tradeoffs in software DCT-based image coding
3. Complexity analysis of wavelet signal decomposition and reconstruction
4. Synthesis filterbank with low hardware complexity for subband image coding
5. Complexity evaluation of signal processing algorithms
6. Memory constrained wavelet-based image coding
7. High performance, low-complexity image compression
8. A fast DCT-SQ scheme for images
9. Optimal quantizer step sizes for transform coders