Explore MATLAB source code curated for "图像去模糊" with clean implementations, documentation, and examples.
Images and videos often suffer from blurring due to camera shake, making deblurring a challenging and active research area in image processing. Implementing algorithms for uniform linear motion deblurring provides a simplified approach that can be coded using point spread function estimation and deconvolution techniques.
This approach utilizes adaptive region selection and adaptive regularization techniques for image deblurring and super-resolution processing, with verified implementation feasibility through practical testing.
Implementation of Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) for solving image deblurring problems, containing multiple MATLAB m-files and an instructional document authored by Amir Beck
Implementation of iterative blind deconvolution for image deblurring with custom-written code avoiding MATLAB built-in functions