Journal of Atmospheric and Environmental Optics ›› 2015, Vol. 10 ›› Issue (5): 401-407.

• 论文 • Previous Articles     Next Articles

Implement of High Resolution Remote Sensing Image Restoration Algorithm Based on Wavelet Transform

CHENG Wei, YANG Shi-zhi, WEN Nu, CUI Sheng-cheng   

  1. (Key Laboratory of Optical Calibration and Characterization,Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China)
  • Received:2014-04-14 Revised:2014-04-22 Online:2015-09-28 Published:2015-09-11

Abstract:

In order to facilitate the subsequent research of remote sensing images, a high-resolution remote sensing image restoration algorithm based on wavelet transform and iterative shrinkage (IST) has been implemented. Considering that the restoration process in the algorithm needs large memory, memory-mapped file method is used to map the high-resolution remote sensing image into the process address space. Because of the edge jump phenomenon which affects the image quality after splicing image block, a special splicing strategy is used for block restoration. Restoration algorithm is implemented in the VC platform. Through remote sensing image restoration experiments, analysis and evaluation of image restoration, the restoration algorithm is proved to have good recovery performance and efficiency.

Key words: remote sensing image restoration, high resolution, memory-mapped file, splicing strategy, wavelet transform

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