.png){kind=icon}
.png){kind=icon}
Return
Wavelet packet image coding using space-frequency quantization
.png){kind=icon}
PRE
AI
DOI：10.1109/83.679438.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We extend our previous work on spade-frequency quantization (SFQ) for image coding from wavelet transforms to the more general wavelet packet transforms [2], 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 shots that, for some image classes, our new coder gives excellent coding performance.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
13.7
Papers:
1.0W
Citations:
8.4W
Organization
No organization information available