1. Super-resolution Image Reconstruction
Sina Jahanbin
Richard Naething
EE381K-14
May 3, 2005

2. Summary of
Super-resolution
Results in Literature
Subjective results most prevalent reporting method
Many papers lack implementation complexity information

3. Recursive Least Square SR Method [Kim et al., 1990]
SR Image
LR Image
PSNR (dB)
MSE
0.0239
0.0206
SSIM
0.6134
0.4630
Original Image
Under-sampled
Noisy Image …
First Iteration
Second Iteration
Final SR Image

4. Wavelet Based Super-resolution [Bose et al., 2004]
SR Image
LR Image
PSNR (dB)
MSE
8.1272e-004
0.0107
SSIM
0.8709
0.4391
Original
LR Noisy
SR Image

5. “Structural SIMilarity (SSIM)” [Wang et al., 2004]
SSIM is an improved version of the Universal Quality Index mention in class
Other perceptual models have been based on MSE, but with error weighted based on visibility
Error visibility versus loss of quality?
Problems with quantifying loss of quality
Multiplicative noise
Source: Image Quality Assessment: From Error Visibility to Structural Similarity [Wang et al., 2004]