A Dual Layer high dynamic range LCD display can be built by stacking two panels one on top of the other. In this way, the dynamic range is theoretically squared and the bit depth is also increased. Dedicated splitting algorithms are however needed to generate the two images which drive the panels, in order to minimize the parallax and reconstruction errors. In this paper we present an algorithm, based on variational techniques, which seeks the joint minimization of both errors. We propose a simplified visible difference metric that exploits some limitations of the human visual system and can be easily incorporated into an optimization algorithm. The image splitting task is formulated as a quadratic programming problem, which can be efficiently solved by means of appropriate numerical methods. Preliminary tests on medical images showed that the algorithm has good performances and appears robust with respect to the parameter adjustment.

Minimum-Error Splitting Algorithm for a Dual Layer LCD Display—Part I: Background and Theory

GUARNIERI, GABRIELE;RAMPONI, GIOVANNI
2008-01-01

Abstract

A Dual Layer high dynamic range LCD display can be built by stacking two panels one on top of the other. In this way, the dynamic range is theoretically squared and the bit depth is also increased. Dedicated splitting algorithms are however needed to generate the two images which drive the panels, in order to minimize the parallax and reconstruction errors. In this paper we present an algorithm, based on variational techniques, which seeks the joint minimization of both errors. We propose a simplified visible difference metric that exploits some limitations of the human visual system and can be easily incorporated into an optimization algorithm. The image splitting task is formulated as a quadratic programming problem, which can be efficiently solved by means of appropriate numerical methods. Preliminary tests on medical images showed that the algorithm has good performances and appears robust with respect to the parameter adjustment.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2305815
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