DocumentCode
3484586
Title
DCT-based regularized algorithm for high-resolution image reconstruction
Author
Rhee, Seunghyeon ; Kang, Moon Gi
Author_Institution
Dept. of Electr. & Comput. Eng., Yonsei Univ., Seoul, South Korea
Volume
3
fYear
1999
fDate
1999
Firstpage
184
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
Keywords
discrete cosine transforms; image reconstruction; motion estimation; DCT-based regularized algorithm; aliased low-resolution images; discrete cosine transform; finite sensor pixels; high resolution images; high-resolution image reconstruction; motion estimates; superresolution; Costs; Discrete Fourier transforms; Discrete cosine transforms; Frequency domain analysis; Image reconstruction; Image resolution; Moon; Motion estimation; Optical noise; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.817096
Filename
817096
Link To Document