Abstract
When the frame transfer CCD image sensor shooting star-sky background image, the smear phenomenon caused by high brightness stars in the field of view will seriously affect the target detection. For removing the smear phenomenon, a smear removal algorithm based on wavelet transform in star-sky image was proposed. According to the mechanism of smear and characteristics of the star-sky image, the model of smear problem was established, the smear line was separated into the high frequency components and vertical components by using multi-layer two-dimension haar wavelet transform, and the smear-removed image was reconstructed. The experimental results show that the method can effectively remove smear and retain original image information, and enhance the SNR of small target in smear area.
| Original language | English |
|---|---|
| Pages (from-to) | 413-418 |
| Number of pages | 6 |
| Journal | Guangzi Xuebao/Acta Photonica Sinica |
| Volume | 40 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2011 |
Keywords
- Frame transfer CCD
- Haar wavelet
- Smear removal
- Star-sky image
- Wavelet transform
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