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A Signal Processing Approach to Reduce Motion Blur in Lcds by Deconvolution

R. Praveenkumar, M. Dhamodaran, S. Jegadeesan


An LCD, or Liquid Crystal Displays widely used as a screen that is used in many Televisions, Digital equipment screen, Mobile phones, cameras and tablets. LCD's are very flat and thin, which are actually composed of several layers. The sample-and-hold properties of the LCDs leads to motion blur. This problem can be eliminated by using a suitable signal processing approach using the Human Visual System (HVS) models. This method includes preprocessing the input data before it is fed to the display .In this paper, a new Total variation-based algorithm is introduced for image deconvolution by the assumptions of AWG (additive white Gaussian noise) and linear observations. The TV estimate is obtained by majorization-minimization approach, and by relying on convexity arguments .This method replaces a complex optimization problem by a sequence of simpler ones. The proposed algorithm either outperforms or equals when compared with the same kind of methods with similar computational complexity.


LCD Motion blur, visual system, image denoising, scaled gradient magnitude, total variation.

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