Efficient color image enhancement based on fast and adaptive bidimensional empirical mode decomposition

Hung Yu Yang, Shang Yuan Li, Pei-Yin Chen, Yeu Horng Shiau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Non-uniform light distribution problems often arise in the real world images taken by digital device. In this paper, we propose a fast and efficient technique for color image enhancement using fast and adaptive bi-dimensional empirical mode decomposition. This method removes non-uniform light information from the illumination plane of color image efficiently. And then, we apply a brightness correction method to compensate the light information. The experimental results show that the proposed approach can effectively enhance the color image. Besides, this method requires less computing resource and is well suitable for implementing on the real-time system.

Original languageEnglish
Title of host publicationProceedings - 2011 International Symposium on Computer Science and Society, ISCCS 2011
Pages319-322
Number of pages4
DOIs
Publication statusPublished - 2011 Sep 26
Event2011 International Symposium on Computer Science and Society, ISCCS 2011 - Kota Kinabalu, Malaysia
Duration: 2011 Jul 162011 Jul 17

Publication series

NameProceedings - 2011 International Symposium on Computer Science and Society, ISCCS 2011

Other

Other2011 International Symposium on Computer Science and Society, ISCCS 2011
CountryMalaysia
CityKota Kinabalu
Period11-07-1611-07-17

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

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    Yang, H. Y., Li, S. Y., Chen, P-Y., & Shiau, Y. H. (2011). Efficient color image enhancement based on fast and adaptive bidimensional empirical mode decomposition. In Proceedings - 2011 International Symposium on Computer Science and Society, ISCCS 2011 (pp. 319-322). [6004450] (Proceedings - 2011 International Symposium on Computer Science and Society, ISCCS 2011). https://doi.org/10.1109/ISCCS.2011.112