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Artifact removal for GLS map makers by means of post-processing
Summary
Artificial structures degrade astrophysical images from the European Space Agency (ESA) Herschel satellite. This study introduces a post-processing method to remove these artifacts, minimizing background noise for improved image quality.
Area of Science:
- Astrophysical imaging
- Image processing techniques
Background:
- Generalised Least Square (GLS) imaging can introduce artificial structures.
- These artifacts degrade image quality from the European Space Agency (ESA) Herschel satellite.
Purpose of the Study:
- Analyze artifacts in GLS astrophysical images.
- Develop and validate a method for artifact removal.
Main Methods:
- Post-processing of Generalised Least Square (GLS) images.
- Artifact estimation and subtraction from original images.
- Mitigation of background noise increase by targeted subtraction.
Main Results:
- Successfully identified and removed artificial structures.
- Demonstrated artifact removal efficiency using simulated and real data.
- Quantified the method's performance.
Conclusions:
- The proposed method effectively removes artifacts from astrophysical images.
- Targeted artifact subtraction minimizes increased background noise.
- This technique enhances the quality of Herschel satellite data.
