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Image compression with the wavelet transform

机译:图像压缩与小波变换

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摘要

We present a new algorithm for coefficient selection during image compression using the wavelet transform for decomposition and reconstruction. This new algorithm assigns a weight to each scale so that coefficients from a high resolution scale are more likely to be discarded before coefficients from a low resolution scale. Results show our algorithm introduces less error into the reconstructed image than the sort method developed by DeVore/em et al.
机译:我们在使用小波变换进行分解和重建期间,介绍了一种用于图像压缩期间的系数选择算法。该新算法将权重分配给每个刻度,使得在从低分辨率比例的系数之前更有可能丢弃来自高分辨率比例的系数。结果显示我们的算法在重建图像中引入较少的错误,而不是Devore / Em等人开发的排序方法。

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