Super-resolution%20Image%20Reconstruction

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) 15.5360 16.8558
MSE 0.0239 0.0206
SSIM 0.6134 0.4630
Under-sampled Noisy Image
Original Image

Final SR Image
First Iteration
Second Iteration
4
Wavelet Based Super-resolution Bose et al., 2004
SR Image LR Image
PSNR (dB) 30.8801 15.7670
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