JOURNAL ARTICLE

Parallel FIR filter banks for robust subband image coding

S.O. AaseT.A. Ramstad

Year: 1993 Journal:   IEEE International Conference on Acoustics Speech and Signal Processing Vol: cas 35 Pages: 566-569 vol.5

Abstract

Novel filter banks for low-bit-rate image subband coding are presented. To avoid extensive ringing noise, the unit pulse responses of the synthesis channels are kept short. This calls for special measures to avoid blocking effects. The synthesis lowpass unit pulse response must be a good interpolator if blocking effects are to be avoided. Earlier work has shown that nonunitary filter banks can offer superior coding gain compared with unitary filter banks. This result is extended by indicating that the analysis and synthesis parts have different tasks to perform. The analysis filter banks should pack the data energy, while the synthesis filter banks should provide blocking-free reconstruction with negligible ringing artifacts in the presence of noise. Using these basic ideas, nonunitary filter banks are designed which have superior properties compared with the DCT (discrete cosine transform) and the LOT (lapped orthogonal transform), in terms of coding gain and blocking effects.< >

Keywords:
Ringing Discrete cosine transform Computer science Blocking (statistics) Filter bank Filter (signal processing) Raised-cosine filter Ringing artifacts Root-raised-cosine filter Blocking effect Low-pass filter Filter design Algorithm Coding (social sciences) Speech recognition Deblocking filter Mathematics Artificial intelligence Computer vision Image (mathematics) Computer network Statistics

Metrics

15
Cited By
2.00
FWCI (Field Weighted Citation Impact)
15
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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