Removing Camera Shake Blur from a Single Image

Removing camera shake blur from a single image represents a common challenge in computational photography. To address this problem, we present a MATLAB-based solution that implements the robust algorithm detailed in the research paper "Removing Camera Shake from a Single Image". The implementation includes key components such as blind deconvolution techniques, point spread function (PSF) estimation through statistical priors, and Richardson-Lucy deconvolution for image restoration. The program effectively minimizes blur artifacts by modeling camera shake as a convolutional process and employing optimization methods to recover sharp image details. This approach enhances image clarity and锐利ness through careful noise handling and regularization parameters that prevent amplification of artifacts during the deconvolution process. The code structure incorporates multi-scale processing for improved convergence and includes automatic parameter tuning for different image types.