Iterative blind deconvolution method for dwell-time adjustment

Area of Science:

• Optical engineering
• Computational optics
• Materials processing

Background:

• Fast Fourier Transform (FFT) algorithms can produce negative values during optical element grinding dwell-time calculations.
• The dwell-time adjustment algorithm, crucial for precision grinding, is affected by these inaccuracies.
• Existing methods struggle to effectively handle negative values, impacting final optical element quality.

Purpose of the Study:

• To develop and evaluate a processing method for negative values within the Fourier iterative Ayers-Dainty (AD) algorithm.
• To minimize calculation errors in dwell-time determination for optical element grinding.
• To improve the accuracy and efficiency of the dwell-time adjustment algorithm.

Main Methods:

• Implementation of a novel negative value processing technique within the AD algorithm.
• Adoption of a specific range for the unit removal shape in the AD algorithm.
• Utilizing quantized dwell-time distribution for error minimization.

Main Results:

• The proposed method effectively processes negative values generated by FFT in dwell-time calculations.
• Adopting the unit removal shape range within the AD algorithm significantly reduced calculation errors.
• The error was minimized, leading to a more precise quantized dwell-time distribution output.

Conclusions:

• The developed negative value processing method enhances the reliability of the AD algorithm for optical element grinding.
• This approach leads to more accurate dwell-time calculations, improving the precision of ground optical elements.
• The study demonstrates a viable solution for a common issue in computational optics for manufacturing.