DCT-based regularized algorithm for high-resolution image reconstruction

Seunghyeon Rhee, Moon Gi Kang

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

While high resolution images are required for various applications, aliased low-resolution images are only available due to the finite sensor pixels. In this paper, a new approach is proposed to obtain superresolution using regularization. With the proposed approach based on the discrete cosine transform, high-resolution images can be efficiently reconstructed both in the underdetermined case and in the case with inaccurate motion estimates.

Original languageEnglish
Pages184-187
Number of pages4
Publication statusPublished - 1999 Dec 1
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: 1999 Oct 241999 Oct 28

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period99/10/2499/10/28

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Rhee, S., & Kang, M. G. (1999). DCT-based regularized algorithm for high-resolution image reconstruction. 184-187. Paper presented at International Conference on Image Processing (ICIP'99), Kobe, Jpn, .