| A Vector Quantification Image Coding Scheme Based on Wavelet Transform |
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| 作者姓名： | YANG De hong HUANG Xi yue CAI Yu fang |
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| 摘 要： | The paper proposes an image compression and coding scheme based on discrete wavelet transform (DWT), which makes the best of the relativities among original image and coefficients of wavelet, the relativities among pixels of subimages, the relativities among directions of subimages. Human visual specialities were considered, so the compression scheme leads up to make full use of the statistical redundancy and visual redundancy of image. To get high compression ratio and good quality of image, the coefficients of image working on the quality of image greatly were reserved accurately, but the coefficients of image working on the quality of image slightly were quantified roughly. Also, the regrouping and coding of the coefficients could be used universally. The experimental results show that the compression method is provided with simply calculating, little time for coding and decoding and satisfying quality companied with high compression ratio.
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| 关 键 词： | wavelet transform vector quantification image compression vector classification visual masking |
| 修稿时间： | 2001/11/8 0:00:00 |
A Vector Quantification Image Coding Scheme Based on Wavelet Transform |
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| YANG De hong,HUANG Xi yue,CAI Yu fang.A Vector Quantification Image Coding Scheme Based on Wavelet Transform[J].Storage & Process,2002(4):61-64. |
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| Authors: | YANG De hong HUANG Xi yue CAI Yu fang |
| |
| Abstract: | The paper proposes an image compression and coding scheme based on discrete wavelet transform (DWT), which makes the best of the relativities among original image and coefficients of wavelet, the relativities among pixels of subimages, the relativities among directions of subimages. Human visual specialities were considered, so the compression scheme leads up to make full use of the statistical redundancy and visual redundancy of image. To get high compression ratio and good quality of image, the coefficients of image working on the quality of image greatly were reserved accurately, but the coefficients of image working on the quality of image slightly were quantified roughly. Also, the regrouping and coding of the coefficients could be used universally. The experimental results show that the compression method is provided with simply calculating, little time for coding and decoding and satisfying quality companied with high compression ratio. |
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| Keywords: | wavelet transform vector quantification image compression vector classification visual masking |
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