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
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;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817096
