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IAPR International Workshop on Multimedia Information Analysis and Retrieval

MINAR 1998: Multimedia Information Analysis and Retrieval pp 124–131Cite as

Image enhancement and improvement of both color and brightness contrast based on lateral inhibition method

  • Image Analysis
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1464))

Abstract

We propose a new lateral inhibition method for image enhancement which improves both color and brightness contrast. Our method deserves attention for the following reasons: (1) it can adapt itself to the objective image automatically, (2) physiological and psychological behavior of early visual system has been considered and (3) it can affect locally and parallelly both the light region and dark region of the objective image. This method has been derived on the basis of our early vision system and modelized by a. simple mathematical function which forms reverse-S shaped stimulus-response curve, and additionally, it can simulate lateral inhibition effects. Our model explains how the lateral inhibition mechanism with local and adaptive processing system realizes the robustness for various input images and detects objects from wide varieties of visual stimuli. The proposed method can make the maximum use of the lateral inhibition effects, perform mild and powerful image enhancement and improve image quality very naturally both at the light and dark regions.

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Author information

Authors and Affiliations

  1. 1704, Intelligent Systems Division, Electrotechnical Laboratory, 1-1-4 Umezono, 305-8568, Tsukuba, Japan

    Takashi Sakamoto & Toshikazu Kato

Authors
  1. Takashi Sakamoto
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  2. Toshikazu Kato
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Editor information

Horace H. S. Ip Arnold W. M. Smeulders

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© 1998 Springer-Verlag Berlin Heidelberg

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Sakamoto, T., Kato, T. (1998). Image enhancement and improvement of both color and brightness contrast based on lateral inhibition method. In: Ip, H.H.S., Smeulders, A.W.M. (eds) Multimedia Information Analysis and Retrieval. MINAR 1998. Lecture Notes in Computer Science, vol 1464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0016493

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  • DOI: https://doi.org/10.1007/BFb0016493

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64826-0

  • Online ISBN: 978-3-540-68537-1

  • eBook Packages: Springer Book Archive

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