Deblurring shaken and partially saturated images

We address the problem of deblurring images degraded by camera shake blur and saturated (over-exposed) pixels. Saturated pixels violate the common assumption that the image-formation process is linear, and often cause ringing in deblurred outputs. We provide an analysis of ringing in general, and sh...

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Үндсэн зохиолчид: Whyte, O, Sivic, J, Zisserman, A
Формат: Journal article
Хэл сонгох:English
Хэвлэсэн: Springer 2014
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author Whyte, O
Sivic, J
Zisserman, A
author_facet Whyte, O
Sivic, J
Zisserman, A
author_sort Whyte, O
collection OXFORD
description We address the problem of deblurring images degraded by camera shake blur and saturated (over-exposed) pixels. Saturated pixels violate the common assumption that the image-formation process is linear, and often cause ringing in deblurred outputs. We provide an analysis of ringing in general, and show that in order to prevent ringing, it is insufficient to simply discard saturated pixels. We show that even when saturated pixels are removed, ringing is caused by attempting to estimate the values of latent pixels that are brighter than the sensor’s maximum output. Estimating these latent pixels is likely to cause large errors, and these errors propagate across the rest of the image in the form of ringing. We propose a new deblurring algorithm that locates these error-prone bright pixels in the latent sharp image, and by decoupling them from the remainder of the latent image, greatly reduces ringing. In addition, we propose an approximate forward model for saturated images, which allows us to estimate these error-prone pixels separately without causing artefacts. Results are shown for non-blind deblurring of real photographs containing saturated regions, demonstrating improved deblurred image quality compared to previous work.
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spelling oxford-uuid:227b81b1-9d86-4505-ae7a-9b4db77b040b2024-11-22T13:40:06ZDeblurring shaken and partially saturated imagesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:227b81b1-9d86-4505-ae7a-9b4db77b040bEnglishSymplectic ElementsSpringer2014Whyte, OSivic, JZisserman, AWe address the problem of deblurring images degraded by camera shake blur and saturated (over-exposed) pixels. Saturated pixels violate the common assumption that the image-formation process is linear, and often cause ringing in deblurred outputs. We provide an analysis of ringing in general, and show that in order to prevent ringing, it is insufficient to simply discard saturated pixels. We show that even when saturated pixels are removed, ringing is caused by attempting to estimate the values of latent pixels that are brighter than the sensor’s maximum output. Estimating these latent pixels is likely to cause large errors, and these errors propagate across the rest of the image in the form of ringing. We propose a new deblurring algorithm that locates these error-prone bright pixels in the latent sharp image, and by decoupling them from the remainder of the latent image, greatly reduces ringing. In addition, we propose an approximate forward model for saturated images, which allows us to estimate these error-prone pixels separately without causing artefacts. Results are shown for non-blind deblurring of real photographs containing saturated regions, demonstrating improved deblurred image quality compared to previous work.
spellingShingle Whyte, O
Sivic, J
Zisserman, A
Deblurring shaken and partially saturated images
title Deblurring shaken and partially saturated images
title_full Deblurring shaken and partially saturated images
title_fullStr Deblurring shaken and partially saturated images
title_full_unstemmed Deblurring shaken and partially saturated images
title_short Deblurring shaken and partially saturated images
title_sort deblurring shaken and partially saturated images
work_keys_str_mv AT whyteo deblurringshakenandpartiallysaturatedimages
AT sivicj deblurringshakenandpartiallysaturatedimages
AT zissermana deblurringshakenandpartiallysaturatedimages