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UT EE 381K - Super-­resolution Image Reconstruction

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Super-resolution Image ReconstructionPowerPoint PresentationRecursive Least Square SR Method [Kim et al., 1990]Wavelet Based Super-resolution [Bose et al., 2004]“Structural SIMilarity (SSIM)” [Wang et al., 2004]Super-resolution Image Super-resolution Image ReconstructionReconstructionSuper-resolution Image Super-resolution Image ReconstructionReconstructionSina JahanbinSina JahanbinRichard NaethingRichard NaethingEE381K-14EE381K-14May 3, 2005May 3, 2005Sina JahanbinSina JahanbinRichard NaethingRichard NaethingEE381K-14EE381K-14May 3, 2005May 3, 2005Summary ofSuper-resolutionResults in Literature•Subjective results most prevalent reporting method•Many papers lack implementation complexity informationRecursive 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 ImageFinal SR ImageOriginal ImageFirst Iteration Second Iteration…SR ImageSR ImageLR ImageLR ImagePSNR (dB)PSNR (dB)15.536015.536016.855816.8558MSEMSE0.02390.02390.02060.0206SSIMSSIM0.61340.61340.46300.4630Wavelet 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 NoisySR ImageSR ImageSR ImageLR ImageLR ImagePSNR (dB)PSNR (dB)30.880130.880115.767015.7670MSEMSE8.1272e-0048.1272e-0040.01070.0107SSIMSSIM0.87090.87090.43910.4391““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


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UT EE 381K - Super-­resolution Image Reconstruction

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