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Part of book or chapter of book . 2011
Data sources: InTech
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Part of book or chapter of book
License: CC BY NC SA
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https://doi.org/10.5772/14331...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
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Image Enhancement and Image Hiding Based on Linear Image Fusion

Authors: Qiangfu Zhao; Cheng-Hsiung Hsieh;

Image Enhancement and Image Hiding Based on Linear Image Fusion

Abstract

This chapter presents image enhancement and image hiding approaches based on linear image fusion (LIF). Most of materials presented here have been published in (Hsieh et al., 2008; Hsieh et al., 2010; Kondo and Zhao, 2006). Apparently, image enhancement, image morphing, and image hiding are completely different technologies for different applications, they can actually be unified under the core of LIF, and this unification can be helpful in other related researches. The reason we use LIF is its simplicity and low computational cost. By our observations, LIF generally has satisfactory performance provided that appropriate source images are used. This motivates the image enhancement approaches presented in this chapter. Note that the intermediate image generated by image morphing, in which LIF plays a fundamental role, can be a way to hide images, an LIF based approach to image hiding is presented in this chapter as well. This chapter consists of five sections. Section 1 gives introductions related to image enhancement and image hiding. Section 2 reviews LIF which is the core for the given applications. Then image enhancement approaches based on LIF are introduced in Section 3. Section 4 presents an image hiding approach based on LIF. Finally, conclusion and future work are mentioned in Section 5.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
hybrid