Super-resolution Image Super-resolution Image ReconstructionReconstruction

Super-resolution Image Super-resolution Image ReconstructionReconstruction

Sina JahanbinSina JahanbinRichard NaethingRichard Naething

EE381K-14EE381K-14May 3, 2005May 3, 2005

Sina JahanbinSina JahanbinRichard NaethingRichard Naething

EE381K-14EE381K-14May 3, 2005May 3, 2005

Summary ofSuper-resolutionResults in Literature

•Subjective results most prevalent reporting method•Many papers lack implementation complexity information

Recursive Least Square SR Method Recursive Least Square SR Method [Kim [Kim et al., 1990et al., 1990]]Recursive Least Square SR Method Recursive Least Square SR Method [Kim [Kim et al., 1990et al., 1990]]

Under-sampledNoisy Image

Final SR Image

Original Image

First Iteration Second Iteration

…

SR ImageSR Image LR ImageLR Image

PSNR (dB)PSNR (dB) 15.536015.5360 16.855816.8558

MSEMSE 0.02390.0239 0.02060.0206

SSIMSSIM 0.61340.6134 0.46300.4630

Wavelet Based Super-resolution Wavelet Based Super-resolution [Bose [Bose et alet al., 2004]., 2004]Wavelet Based Super-resolution Wavelet Based Super-resolution [Bose [Bose et alet al., 2004]., 2004]

Original LR Noisy

SR Image

SR ImageSR Image LR ImageLR Image

PSNR (dB)PSNR (dB) 30.880130.8801 15.767015.7670

MSEMSE 8.1272e-0048.1272e-004 0.01070.0107

SSIMSSIM 0.87090.8709 0.43910.4391

““Structural SIMilarity (SSIM)” Structural SIMilarity (SSIM)” [Wang [Wang et al.et al., 2004], 2004]““Structural SIMilarity (SSIM)” Structural SIMilarity (SSIM)” [Wang [Wang et al.et al., 2004], 2004]

Source: Image Quality Assessment: From Error Visibility to Structural Similarity [Wang [Wang et al.et al., 2004], 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