Parameter Estimation for Defocus Blurred Images

I developed a MATLAB program to estimate parameters of defocus blurred images and applied the Lucy-Richardson method for image restoration. The program accurately estimates defocus blur parameters and demonstrates excellent restoration results. The implementation involves key MATLAB functions including: - fspecial() to create the point spread function (PSF) model - deconvlucy() for iterative Lucy-Richardson deconvolution - imfilter() for testing blur parameters The Lucy-Richardson restoration process is straightforward to implement, requiring only a few lines of code to execute the iterative deconvolution algorithm that maximizes likelihood estimation. The program provides valuable insights into defocus blur characteristics and serves as an effective tool for image restoration research. This implementation offers researchers and developers a practical approach to understanding and addressing defocus blur issues in digital images. The parameter estimation module uses optimization techniques to determine optimal PSF parameters, while the restoration module effectively reverses the blurring effects through iterative refinement. I hope this program proves beneficial for those working in image processing and computational photography fields!