LCD Motion Blur: Modeling, Analysis, and Algorithm

Liquid crystal display (LCD) devices are well known for their slow responses due to the physical limitations of liquid crystals. Therefore, fast moving objects in a scene are often perceived as blurred. This effect is known as the LCD motion blur. In order to reduce LCD motion blur, an accurate LCD...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on image processing Ročník 20; číslo 8; s. 2352 - 2365
Hlavní autoři:	Chan, S. H., Nguyen, T. Q.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.08.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Cathode ray tubes Detection, estimation, filtering, equalization, prediction Devices Equations Errors Exact sciences and technology Filtering Human visual system Humans Image processing Image Processing, Computer-Assisted - methods Information, signal and communications theory Least-Squares Analysis Liquid crystal displays liquid crystal displays (LCDs) Liquid Crystals Mathematical model Mathematical models Models, Theoretical Motion motion blur Pixel PSNR Reduction Signal and communications theory Signal processing Signal, noise spatial consistency Studies subgradient projection Telecommunications and information theory temporal consistency Tracking Visual Perception State of the art Moving target Video signal Liquid crystals Modeling Projection method temporal consistency Reverse filtering Image sequence spatial consistency Motion compensation motion blur Target tracking Least squares problem L1 approximation Image restoration Human visual system Algorithm Blurred image Deconvolution Algorithm performance Signal processing liquid crystal displays (LCDs) Numerical simulation Liquid crystal displays Motion analysis Signal to noise ratio subgradient projection
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	Liquid crystal display (LCD) devices are well known for their slow responses due to the physical limitations of liquid crystals. Therefore, fast moving objects in a scene are often perceived as blurred. This effect is known as the LCD motion blur. In order to reduce LCD motion blur, an accurate LCD model and an efficient deblurring algorithm are needed. However, existing LCD motion blur models are insufficient to reflect the limitation of human-eye-tracking system. Also, the spatiotemporal equivalence in LCD motion blur models has not been proven directly in the discrete 2-D spatial domain, although it is widely used. There are three main contributions of this paper: modeling, analysis, and algorithm. First, a comprehensive LCD motion blur model is presented, in which human-eye-tracking limits are taken into consideration. Second, a complete analysis of spatiotemporal equivalence is provided and verified using real video sequences. Third, an LCD motion blur reduction algorithm is proposed. The proposed algorithm solves an l 1 -norm regularized least-squares minimization problem using a subgradient projection method. Numerical results show that the proposed algorithm gives higher peak SNR, lower temporal error, and lower spatial error than motion-compensated inverse filtering and Lucy-Richardson deconvolution algorithm, which are two state-of-the-art LCD deblurring algorithms.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	1057-7149 1941-0042 1941-0042
DOI:	10.1109/TIP.2011.2109728