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Read more >. This work presents an efficient LTP-based sharpness measure for blur detection and segmentation.
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The defocus or motion effect in images is one of the main reasons for the blurry regions in digital images.
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Blur, may it be caused by either defocus or by the relative motion between scene and camera, it usually varies spatially in an image, and thus its estimation in a single image becomes a challenging task [1], [2].
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Jointly optimizing the NeRF and the DSK module allows us to restore a sharp NeRF.
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Update1: The blur maps for the 1000 images in the blur.