A New Predictive EC Algorithm for Reduction of Memory Size and Bandwidth Requirements in Wavelet Transform
| Autor: | Woo-Soo Choi, Chang-Hoon Son, Ji-Won Kim, Young-Min Kim, Seong-Yu Na |
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| Rok vydání: | 2011 |
| Předmět: |
Discrete wavelet transform
Lossless compression Computer science Stationary wavelet transform Mean squared prediction error ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Codec Data_CODINGANDINFORMATIONTHEORY Quantization (image processing) Algorithm Coding (social sciences) |
| Zdroj: | Journal of Korea Multimedia Society. 14:917-923 |
| ISSN: | 1229-7771 |
| DOI: | 10.9717/kmms.2011.14.7.917 |
| Popis: | In this paper, a new prediction based embedded compression (EC) codec algorithm for the JPEG2000 encoder system is proposed to reduce excessive memory requirements. The EC technique can reduce the 50 % memory requirement for intermediate low-frequency coefficients during multiple discrete wavelet transform (DWT) stages compared with direct implementation of the DWT engine of this paper. The LOCO-I predictor and MAP are widely used in many lossless picture compression codec. The proposed EC algorithm use these predictor which are very simple but surprisingly effective. The predictive EC scheme adopts a forward adaptive quantization and fixed length coding to encoding the prediction error. Simulation results show that our LOCO-I and MAP based EC codecs present only PSNR degradation of 0.48 and 0.26 dB in average, respectively. The proposed algorithm improves the average PSNR by 1.39 dB compared to the previous work in [9]. |
| Databáze: | OpenAIRE |
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