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Research and Application of Online Image Processing Technology Based on HTML5

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Advanced Graphic Communications and Media Technologies (PPMT 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 417))

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Abstract

This study aimed to develop a web image processing application in order to process the pictures online. First, the front-page was designed and layout by HTML, CSS and BootStrap, then using File API to read the pictures or invoke the local camera to take pictures, and draw them into Canvas. Next the basic image processing algorithm were studied, and through the JavaScript scripting language to achieve pixels processing. The result is that a web image processing application was developed. Users can get the basic adjustment function to the acquired images such as brightness, contrast and basic filter such as mosaic. This study used Canvas technology that provided by HTML5 to develop a high quality native applications without relying on plug-ins. Users do not need to download the client, just a web site that can get the basic adjustment function to the images. It was worth researching.

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Author information

Authors and Affiliations

  1. College of Packaging & Printing Engineering, Tianjin University of Science & Technology, Tianjin, China

    Chunxia Dong & Zhanjun Si

Authors
  1. Chunxia Dong
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  2. Zhanjun Si
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Corresponding author

Correspondence to Zhanjun Si .

Editor information

Editors and Affiliations

  1. China Academy of Printing Technology, Beijing, China

    Pengfei Zhao

  2. China Academy of Printing Technology, Beijing, China

    Yun Ouyang

  3. China Academy of Printing Technology, Beijing, China

    Min Xu

  4. China Academy of Printing Technology, Beijing, China

    Li Yang

  5. China Academy of Printing Technology, Beijing, China

    Yujie Ouyang

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© 2017 Springer Nature Singapore Pte Ltd.

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Dong, C., Si, Z. (2017). Research and Application of Online Image Processing Technology Based on HTML5. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications and Media Technologies . PPMT 2016. Lecture Notes in Electrical Engineering, vol 417. Springer, Singapore. https://doi.org/10.1007/978-981-10-3530-2_46

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  • DOI: https://doi.org/10.1007/978-981-10-3530-2_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3529-6

  • Online ISBN: 978-981-10-3530-2

  • eBook Packages: EngineeringEngineering (R0)

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