.png){kind=icon}
Return
Reflectivity estimation for SAR image compression
.png){kind=icon}
PRE
AI
DOI：10.1109/TGRS.2003.810224.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Synthetic aperture radar (SAR) images suffer from speckle noise that degrades image quality. Also, speckle removal is needed for lossy image compression as such noise increases image entropy. Nevertheless, most lossy compression schemes act as lowpass filters that might not suit multiplicative noise reduction. M order to build a compression scheme that takes into consideration statistics of SAR images, a well-known reflectivity estimator is integrated into an JPEG 2000-like image compression strategy, so that image compression artifacts may be viewed as an adaptive de-speckle filter instead of a simple lowpass filter. It yields a compression algorithm that acts in a similar way to the Lee (or Kuan) filter.
Keywords:
image compression
speckle reduction
synthetic aperture radar (SAR)
wavelet transform
Journal
IF:
8.6
Papers:
2.1W
Citations:
10.7W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveShareSave
View more