Title :
An efficient wavelet-based algorithm for image superresolution
Author :
Nguyen, Nhat ; Milanfar, Peyman
Author_Institution :
Scientific Comput. & Comput. Math. Program, Stanford, CA, USA
Abstract :
Superresolution produces high quality, high resolution images from a set of degraded, low resolution frames. We present a new and efficient wavelet-based algorithm for image superresolution. The algorithm is a combination of interpolation and restoration processes. Unlike previous work, our method exploits the interlaced sampling structure in the low resolution data. Numerical experiments and analysis demonstrate the effectiveness of our approach and illustrate why the computational complexity only doubles for 2-D superresolution versus 1-D case.
Keywords :
computational complexity; image resolution; image restoration; image sampling; interpolation; wavelet transforms; 1D superresolution; 2D superresolution; computational complexity; degraded low resolution frames; efficient wavelet-based algorithm; high quality images; high resolution images; image superresolution; interlaced sampling structure; interpolation; low resolution data; restoration; Additive noise; Degradation; Image resolution; Image restoration; Image sampling; Interpolation; Mathematics; Pixel; Scientific computing; Spatial resolution;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899387
