| 摘要: |
| 研究了基于整数小波变换和改进零树编码的图像压缩方法：先进行整数小波变换，将图像变换到小波域，再用改进的零树编码对图像进行压缩。给出了试验结果以及与EZW压缩方法的比较，结果表明，整数小波变换和改进零树编码相结合应用于图像压缩是有效的，在一定程度上能缩短计算时间，并提高峰值信噪比。 |
| 关键词: 整数小波变换 改进零树编码 图像压缩方法 峰值信噪比 算法 |
| DOI： |
| 修订日期：2001-10-12 |
| 基金项目: |
|
| Image Compression Based on Integer Wavelet Transforming and Improved Zero Tree Encoding |
|
|
|
| Abstract: |
| An approach to compress images using Integer Wavelet Transforming (IWT) was described, which is more suitable for image compression. An image from time domain to wavelet domain was transformed through Integer Wavelet Transforming. Those coefficients with improved zero tree encoding were encoded. Wavelet Difference Reduction algorithm which is an image codec based on index coding. Finally, experimental results were listed compared with EZW compression method. The results indicate that it is efficient in image compression to combine Integer Wavelet Transforming with improved zero tree encoding. The method can decrease the computing time and improve the Peak Signal no Noise Ratio to some extent. |
| Key words: integer wavelet transforming,zero tree encoding,image compression,peak signal to noise ratio,algorithm |
