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Improved Algorithm for Image Processing in TCON of TFT-LCD

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Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5264))

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Abstract

In order to satisfy the special demand for image display in TFT-LCD, this paper presents a synthesis algorithm for image processing in TCON of TFT-LCD. The algorithm includes contrast adjustment, Gama correction and dithering technique which is improved to deal with the zoomed image, and at the same time, matches the real-time requirements. All the modules are simulated and verified using MATLAB, and then described in RTL. The experimental results show that the design achieves the anticipative effects.

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Author information

Authors and Affiliations

  1. Microelectronic Research and Development Center, Shanghai University,  

    Feng Ran

  2. School of Mechatronical Engineering and Automation, Shanghai University Campus, P.O.B. 110, 149 Yanchang Rd, Shanghai, 200072, P.R. China

    Lian-zhou Wang & Mei-hua Xu

Authors
  1. Feng Ran
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  2. Lian-zhou Wang
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  3. Mei-hua Xu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghu University, 100084, Beijing, China

    Fuchun Sun

  2. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Vogt-Koelln-Straße 30, 22527, Hamburg, Germany

    Jianwei Zhang

  3. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, 100871, Beijing, China

    Ying Tan

  4. Department of Mathematics, Southeast University, 210096, Nanjing, China

    Jinde Cao

  5. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

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© 2008 Springer-Verlag Berlin Heidelberg

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Ran, F., Wang, Lz., Xu, Mh. (2008). Improved Algorithm for Image Processing in TCON of TFT-LCD. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-87734-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87733-2

  • Online ISBN: 978-3-540-87734-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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