Morphological representation of DCT coefficients for image compression

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 12, Issue 9, 2002, Pages 819-823

  Zhao, Debin ^a   Gao, Wen ^a   Chan, Y K ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Data compression; Discrete cosine transform; Image coding; Morphological representation

Indexed keywords

COSINE TRANSFORMS; IMAGE CODING; IMAGE RETRIEVAL; PATTERN RECOGNITION; SIGNAL TO NOISE RATIO;

DISCRETE COSINE TRANSFORMS (DCT); IMAGE CODERS;

VECTOR QUANTIZATION;

EID: 0036733273     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2002.803218     Document Type: Article

References (14)

1. Embedded image coding using zerotree of wavelet coefficients
2. A new, fast, and efficient image codec based on set partitioning in hierarchical trees
3. Image coding based on a morphological representation of wavelet data
4. Significance-linked connected component analysis for wavelet image coding
5. Space-frequency quantization for wavelet image coding
6. A DCT-based embedded image coder
7. Significance tree quantization of the discrete cosine transform
8. Morphological systems for multidimensunal signal processing
9. Morphological graysclale reconstruction in image analysis: Applications and effective algorithms
10. Image analysis using mathematical morphology
11. Entropy constrained vector quantization
12. Arithmetic coding for data compression