The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 05, 2010

Filed:

May. 21, 2003
Applicants:

Leo Jan Velthoven, Eindhoven, NL;

Michiel Adriaanszoon Klompenhouwer, Eindhoven, NL;

Gerard DE Haan, Eindhoven, NL;

Inventors:

Leo Jan Velthoven, Eindhoven, NL;

Michiel Adriaanszoon Klompenhouwer, Eindhoven, NL;

Gerard De Haan, Eindhoven, NL;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/038 (2006.01); G09G 5/00 (2006.01); G06K 9/40 (2006.01);
U.S. Cl.
CPC ...
Abstract

The invention relates to a method and a circuit arrangement to reduce motion blur of images shown in non-stroboscopic display devices, in particular Liquid Crystal Display Panels (LCDs). Thin Film Transistor Displays (TFTs), Color Sequential Displays. Plasma Display Panels (PDPs), Digital Micro Mirror Devices or Organic Light-Emitting Diode (OLED) displays, in which motion vectors depending on moving components in each image of an input video, signal are calculated, in which anti-motion blur filtering of the input video signal is performed based on the calculated motion vectors to produce an output video signal, and in which images are generated on said display device depending on said output video signal. In order to provide an improved spatial filtering with less noise enhancement and less noise modulation, it is proposed that edge characteristics in each image of the input video signal are determined and that anti-motion blur filtering is further based on said determined edge characteristics. In this way, spatial filtering is concentrated on significant parts of an image only, and both noise enhancement and noise modulation are reduced.


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