DCT-Based Embedded Image Compression With a New Coefficient Sorting Method

DCT-Based Embedded Image Compression With a New Coefficient Sorting Method

This letter presents a new sorting algorithm for the DCT-based embedded image compression. The magnitudes of DCT coefficients are estimated from the ones in the neighboring blocks, and the coefficients with larger estimates are given higher priority in encoding. This priority information is also use...

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Veröffentlicht in:IEEE signal processing letters 2009-05, Vol.16 (5), p.410-413
Hauptverfasser: Han Sae Song, Han Sae Song, Nam Ik Cho, Nam Ik Cho
Format: Artikel
Sprache:eng
Schlagworte:
Approximation algorithms
Arithmetic
Arithmetic coding
Bit rate
Coefficient sorting
Coefficients
discrete cosine transform
Discrete cosine transforms
Discrete wavelet transforms
embedded coding
Estimates
Gain
Image coding
Image compression
linear prediction
Partitioning algorithms
Priorities
Quantization
Signal processing
Sorting
Sorting algorithms
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Beschreibung
Zusammenfassung:This letter presents a new sorting algorithm for the DCT-based embedded image compression. The magnitudes of DCT coefficients are estimated from the ones in the neighboring blocks, and the coefficients with larger estimates are given higher priority in encoding. This priority information is also used as contexts for arithmetic coding. The proposed method finds more significant coefficients earlier than the conventional methods, thereby providing higher coding gain.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2016010