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A circular magnetic disk with biaxial magnetocrystalline anisotropy has four stable magnetization states which can be used to encode a pixel&#x2019;s shade in a black/gray/white image. By solving the Landau&#x2013;Lifshitz&#x2013;Gilbert equation, we show that if moderate noise deflects the magnetization slightly from a stable state, it always returns to the original state, thereby automatically denoising the corrupted image. The same system can compare a noisy input image with a stored image and make a matching decision using magnetic tunnel junctions. These tasks are executed at ultrahigh speeds (<formula formulatype="inline"><tex Notation="TeX">$\sim$</tex></formula> 2&#x00A0;ns for a <formula formulatype="inline"><tex Notation="TeX">$512 \times 512$</tex></formula> pixel image).

An Ultrafast Image Recovery and Recognition System Implemented With Nanomagnets Possessing Biaxial Magnetocrystalline Anisotropy