This invention describes a way to create clearer images from an initial blurry or noisy one. It works by repeatedly refining the image in a two-step process: first, it makes an initial adjustment, and then it specifically cleans up unwanted elements like noise or visual distortions. This improved image then goes back into the process until a final, high-quality image is generated. The claims narrow this down to a specific technique that uses mathematical projections to adjust the image, often found in medical scans.
Why it matters: The iterative image reconstruction and denoising techniques described have seen substantial acceleration and quality improvements through deep learning advancements since 2020, potentially making this method more viable or powerful today.
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