Title :
Image super-resolution based on hybrid multiresolution analysis
Author :
Liu, Weirong ; Li, Shutao
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
In this paper, a novel image super-resolution scheme based on hybrid multiresolution analysis is proposed. Firstly, low resolution image is divided into components with different morphological features by morphological component analysis (MCA). Then super-resolution is performed for each component by the hybrid multiresolution analysis based on stationary wavelet transform (SWT) and nonsubsampled contourlet transform (NSCT). Experimental results on test benchmark images and license plate images validate the method´s performance.
Keywords :
feature extraction; image resolution; independent component analysis; wavelet transforms; NSCT; SWT; hybrid multiresolution analysis; image super-resolution scheme; license plate image validation; morphological component analysis; morphological features; nonsubsampled contourlet transform; stationary wavelet transform; test benchmark images; Image edge detection; Image resolution; Interpolation; Multiresolution analysis; Signal resolution; Wavelet transforms; hybrid multiresolution analysis; morphological component analys; nonsubsampled contourlet transform; stationary wavelet transform; super-resolution;
Conference_Titel :
Pattern Recognition (ACPR), 2011 First Asian Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0122-1
DOI :
10.1109/ACPR.2011.6166559
