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Image super-resolution using similarity

Research Project

Project/Area Number 25420383
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Communication/Network engineering
Research InstitutionKeio University

Principal Investigator

Ikehara Masaaki  慶應義塾大学, 理工学部, 教授 (00212796)

Project Period (FY) 2013-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords超解像 / 画像補間 / 複数面フィッティング / ジャギー / 補間 / ショックフィルタ / 自己相似 / 非局所平均 / 辞書学習
Outline of Final Research Achievements

In this research, we propose some fast and high performance super resolution methods from a single image. One method is based on the similarity of image. This makes a dictionary from random sampled patches from original and down-sampled images and apple L2 approximation to obtain a high resolution image. Another method is based on interpolation for high speed implementation. This utilize the bilateral weight of pixels in low resolution image as interpolation coefficient. With local interpolation coefficients, the high resolution images are obtained by applying direct interpolation of LR image. Through the simulations, the proposed methods are shown to be efficient for fast and high performance super resolution.

Report

(4 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (10 results)

All 2016 2015 2014 2013

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Open Access: 1 results,  Acknowledgement Compliant: 2 results) Presentation (7 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] Single Image Super Resolution by l2 Approximation with Random Sampled Dictionary2016

    • Author(s)
      T. Fujisawa, T. Yoshida, K. Mishiba and M. Ikehara
    • Journal Title

      IEICE Trans on Fundamental

      Volume: Vol.E99-A Pages: 612-620

    • NAID

      130005121511

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Reversible symmetric nonexpansive convolution: an effective image boundary processing for M -channel lifting-based linear-phase filter banks2014

    • Author(s)
      T. Suzuki and M. Ikehara
    • Journal Title

      IEEE transactions on Image processing

      Volume: Bo.6 Pages: 2744-2749

    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Two dimensional M-channel non-separable filter banks based on cosine modulated filter banks with diagonal shifts2013

    • Author(s)
      Taichi Yoshida, Seisuke Kyochi, and Masaaki Ikehara
    • Journal Title

      IEICE Trans. Fundamentals

      Volume: vol. E96-A , no. 8 Pages: 1685-1694

    • NAID

      130003370704

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] Colorization-based Image Coding based on Superpixel2015

    • Author(s)
      Shoji Sakamoto, Takanori Fujisawa, and Masaaki Ikehara
    • Organizer
      International Conference on Information, Communications and Signal Processing (ICICS)
    • Place of Presentation
      Singapore
    • Year and Date
      2015-12-02
    • Related Report
      2015 Annual Research Report
  • [Presentation] Image Denoising by Arithmetic Means Based on Similarity2015

    • Author(s)
      Yutaka Takagi, and Masaaki Ikehara
    • Organizer
      International Conference on Information, Communications and Signal Processing (ICICS)
    • Place of Presentation
      Singapore
    • Year and Date
      2015-12-02
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image Interpolation based on Weighting Function of Gaussian2015

    • Author(s)
      Takuro Yamaguchi, Masaaki Ikehara, and Yasuhiro Nakajima
    • Organizer
      Asilomar conference on signals, systems and computers
    • Place of Presentation
      California(USA)
    • Year and Date
      2015-11-06
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image super-resolution based on shock filter and non-local means2014

    • Author(s)
      Taichi Yoshida, Masaaki Ikehara
    • Organizer
      APSIPA 2014
    • Place of Presentation
      Siem Riap
    • Year and Date
      2014-12-09 – 2014-12-12
    • Related Report
      2014 Research-status Report
  • [Presentation] Super-resolutions based on shock filter and non local means with bm3d for congruity2014

    • Author(s)
      K. Iwamoto, T. Yoshida, and M. Ikehara
    • Organizer
      TENCON2014
    • Place of Presentation
      BangKok
    • Year and Date
      2014-10-22 – 2014-10-25
    • Related Report
      2014 Research-status Report
  • [Presentation] 自己相似性、合同性を用いた画像の超解像2013

    • Author(s)
      岩本健, 吉田太一, 池原雅章
    • Organizer
      第28回信号処理シンポジウム
    • Place of Presentation
      下関
    • Related Report
      2013 Research-status Report
  • [Presentation] Image super-resolution method based on non-local means and self similarity2013

    • Author(s)
      Taichi Yoshida, Tomoya Murakami, and Masaaki Ikehara
    • Organizer
      IEEE ISPCAS 2013
    • Place of Presentation
      沖縄
    • Related Report
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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