Motion Blur Image Restoration
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The article introduces motion blur image restoration technology, which addresses image degradation caused by uniform linear motion. This technique employs specialized deblurring algorithms to recover image sharpness by eliminating blur effects resulting from object motion during exposure. Key implementation approaches typically involve point spread function (PSF) estimation and iterative deconvolution methods like Wiener filtering or Richardson-Lucy algorithms. The restoration process generally requires accurate motion parameter estimation (direction and length) followed by frequency-domain or spatial-domain filtering operations. This technology holds significant value in image processing applications, particularly for enhancing image quality and analytical accuracy in forensic analysis, astronomical imaging, and computational photography.
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