Temporal Consistency for Still Image Based Defocus Blur Estimation Methods

Many Defocus blur estimation methods have been proposed in recent years but, when applied to video sequences in a frame-by-frame manner, they typically exhibit temporal inconsistencies or flickering. This paper presents a temporal coherence scheme that can be coupled to any existing defocus blur est...

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Bibliographic Details
Published in2018 25th IEEE International Conference on Image Processing (ICIP) pp. 1088 - 1092
Main Authors Karaali, Ali, Jung, Claudio Rosita, Pitie, Francois
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Coherence
Covariance matrices
Defocus blur
Estimation
Integrated optics
Kalman filters
Optical imaging
temporal consistency
Video sequences
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Summary:Many Defocus blur estimation methods have been proposed in recent years but, when applied to video sequences in a frame-by-frame manner, they typically exhibit temporal inconsistencies or flickering. This paper presents a temporal coherence scheme that can be coupled to any existing defocus blur estimation for still images, aiming to produce spatiotemporally coherent defocus blur map videos. The proposed method is based on the design of a Kalman Filter which is applied on a patch level. Experimental results show that the proposed method can smooth out undesirable temporal fluctuations whilst still being able to preserve the abrupt local appearance changes due to motion, occlusions or dis-occlusions.
ISSN:2381-8549
DOI:10.1109/ICIP.2018.8451778