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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
An Efficient Wavelet-Based ROI Coding for Multiple Regions
Kazuma SHINODANaoki KOBAYASHIAyako KATOHHideki KOMAGATAMasahiro ISHIKAWAYuri MURAKAMIMasahiro YAMAGUCHITokiya ABEAkinori HASHIGUCHIMichiie SAKAMOTO
Author information
  • Kazuma SHINODA

    Faculty of Health and Medical Care, Saitama Medical University

  • Naoki KOBAYASHI

    Faculty of Health and Medical Care, Saitama Medical University

  • Ayako KATOH

    Faculty of Health and Medical Care, Saitama Medical University

  • Hideki KOMAGATA

    Faculty of Health and Medical Care, Saitama Medical University

  • Masahiro ISHIKAWA

    Faculty of Health and Medical Care, Saitama Medical University

  • Yuri MURAKAMI

    Global Scientific Information and Computing Center, Tokyo Institute of Technology

  • Masahiro YAMAGUCHI

    Global Scientific Information and Computing Center, Tokyo Institute of Technology

  • Tokiya ABE

    School of Medicine, Keio University

  • Akinori HASHIGUCHI

    School of Medicine, Keio University

  • Michiie SAKAMOTO

    School of Medicine, Keio University

Corresponding author

ORCID
Keywords:ROI coding,JPEG2000,wavelet transform
JOURNALRESTRICTED ACCESS

2015 Volume E98.AIssue 4Pages 1006-1020

DOIhttps://doi.org/10.1587/transfun.E98.A.1006
Details
  • Published: 2015Manuscript Received: July 25, 2014Released on J-STAGE: April 01, 2015Accepted: -Advance online publication: -Manuscript Revised: November 21, 2014
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Abstract
Region of interest (ROI) coding is a useful function for many applications. JPEG2000 supports ROI coding and can decode ROIs preferentially regardless of the shape and number of the regions. However, if the number of regions is quite large, the ROI coding performance of JPEG2000 declines because the code-stream includes many useless non-ROI codes. This paper proposes a wavelet-based ROI coding method suited for multiple ROIs. The proposed wavelet transform does not access any non-ROIs when transforming the ROIs. Additionally, the proposed method eliminates the need for unnecessary coding of the bits in the higher bit planes of non-ROI regions by adding an ROI map to the code-stream. The experimental results show that the proposed method achieves a higher peak signal-to-noise ratio than the ROI coding of JPEG2000. The proposed method can be applied to both max-shift and scaling-based ROI coding.
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© 2015 The Institute of Electronics, Information and Communication Engineers
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