Medical image compression by discrete cosine transform spectral similarity strategy.

Medical image compression by discrete cosine transform spectral similarity strategy.

Due to bandwidth and storage limitations, medical images must be compressed before transmission and storage. However, the compression reduces the image fidelity, especially when the images are compressed at low bit rates. The reconstructed images suffer from blocking artifacts and the image quality...

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Détails bibliographiques
Publié dans:IEEE Transactions on information technology in biomedicine 5, 3 (2001).
Auteur principal: Yung-Gi Wu
Format: Article
Langue:English
Sujets:
13.5 dB.
4 to 8 dB.
JPEG.
Angiogram images.
Band-gathering operation.
Bandpass filter.
Bandwidth.
Bit rate.
Blocking artifacts.
Compression ratio.
Computational burden.
Decoded image quality.
Discrete cosine transform.
Disease diagnosis.
Equal-sized bands.
Image fidelity.
Medical image compression.
Peak signal-to-noise-ratio gain.
Performance.
Reconstructed images.
Simulations.
Spectral similarity strategy.
Storage limitations.
Transform coding schemes.