DCT-based regularized algorithm for high-resolution image reconstruction

Seunghyeon Rhee, Moon Gi Kang

Research output: Contribution to conferencePaperpeer-review

10 Citations (Scopus)


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


OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'DCT-based regularized algorithm for high-resolution image reconstruction'. Together they form a unique fingerprint.

Cite this