Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Deblurring Shaken and Partially Saturated Images

Oliver Whyte 1, 2 Josef Sivic 1, 2 Andrew Zisserman 1, 2, 3 
2 WILLOW - Models of visual object recognition and scene understanding
DI-ENS - Département d'informatique - ENS Paris, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : 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.
Document type :
Journal articles
Complete list of metadata

Cited literature [39 references]  Display  Hide  Download

https://hal.inria.fr/hal-01053888
Contributor : Josef Sivic Connect in order to contact the contributor
Submitted on : Wednesday, September 17, 2014 - 7:04:18 PM
Last modification on : Thursday, March 17, 2022 - 10:08:39 AM
Long-term archiving on: : Thursday, December 18, 2014 - 10:11:19 AM

File

ijcv2014.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Oliver Whyte, Josef Sivic, Andrew Zisserman. Deblurring Shaken and Partially Saturated Images. International Journal of Computer Vision, Springer Verlag, 2014, ⟨10.1007/s11263-014-0727-3⟩. ⟨hal-01053888⟩

Share

Metrics

Record views

270

Files downloads

583