Image blur analysis and elimination algorithm for an MTF test target of a space camera.

Area of Science:

• Optical Engineering
• Image Processing
• Space Technology

Background:

• High-resolution space cameras require precise imaging for modulation transfer function (MTF) tests.
• Blurry regions in target images degrade visual quality and reduce testing efficiency.

Purpose of the Study:

• To develop a moiré fringe blurry degradation model for space camera target images.
• To propose an effective algorithm for removing blur from these images.

Main Methods:

• Analyzed the imaging process of a rectangle striated target using a complementary metal-oxide-semiconductor (CMOS) detector.
• Developed a moiré fringe blurry degradation model.
• Applied weighted spatial filtering and mean filtering using low-blur regions as reference.

Main Results:

• The proposed algorithm effectively eliminates blur caused by periodic and angular errors in target images.
• Experimental results demonstrate superior performance compared to bilinear interpolation and guidance filters.
• The method successfully removes blurry bands from target images.

Conclusions:

• The developed moiré fringe blurry degradation model and filtering algorithm provide a practical solution for space camera imaging issues.
• This work offers theoretical support and a functional tool for enhancing space camera testing.
• The algorithm improves the accuracy and efficiency of MTF testing for space cameras.