Department of Electrical Engineering, University of Hawaii, Honolulu, HI 96822, USA.
IEEE Trans Image Process. 1998;7(6):892-8. doi: 10.1109/83.679438.
We extend our previous work on space-frequency quantization (SFQ) for image coding from wavelet transforms to the more general wavelet packet transforms. The resulting wavelet packet coder offers a universal transform coding framework within the constraints of filterbank structures by allowing joint transform and quantizer design without assuming a priori statistics of the input image. In other words, the new coder adaptively chooses the representation to suit the image and the quantization to suit the representation. Experimental results show that, for some image classes, our new coder gives excellent coding performance.
我们将之前关于基于小波变换的图像编码的时频量化（SFQ）工作扩展到更一般的小波包变换。所得到的小波包编码器通过允许联合变换和量化器设计而无需假设输入图像的先验统计信息，在滤波器组结构的约束下提供了通用的变换编码框架。换句话说，新编码器自适应地选择表示方式以适应图像，以及选择量化方式以适应表示。实验结果表明，对于某些图像类别，我们的新编码器具有出色的编码性能。
