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文件名称:Sparse Lab 200-Core

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基于多帧图像插值(Interpolation)技术的方法是SR恢复技术当中最直观

的方法。这类方法首先估计各帧图像之间的相对运动信息,获得HR图像在非均

匀间距采样点上的象素值,接着通过非均匀插值得到HR栅格上的象素值,最后

采用图像恢复技术来去除模糊和降低噪声(运动估计!非均匀插值!去模糊和

噪声)。-In this paper, we propose a novel method for solv-

ing single-image super-resolution problems. Given a

low-resolution image as input, we recover its high-

resolution counterpart using a set of training exam-

ples. While this formulation resembles other learning-

based methods for super-resolution, our method has

been inspired by recent manifold learning methods, par-

ticularly locally linear embedding (LLE). Speci?cally,

small image patches in the low- and high-resolution

images form manifolds with similar local geometry in

two distinct feature spaces. As in LLE, local geometry

is characterized by how a feature vector correspond-

ing to a patch can be reconstructed by its neighbors

in the feature space. Besides using the training image

pairs to estimate the high-resolution embedding, we

also enforce local compatibility and smoothness con-

straints between patches in the target high-resolution

image through overlapping. Experiments show that our

method is very ?exible
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下载文件列表

SparseLab200-Core/Papers/
SparseLab200-Core/Papers/Contents.m
SparseLab200-Core/Papers/HDCPNPD/
SparseLab200-Core/Papers/HDCPNPD/HDCPNPD.pdf
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig1.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig3.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig4.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig5.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig6.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig7.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig8.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig9.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/PsiCom.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/PsiExt.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/PsiInt.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig10.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig11.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/PsiFace.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/PsiNet.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/PsiSect.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/shannon.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/SeriesMillsSolve.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/yFroms.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/zeta1.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/MillsM.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/HDCPNPDFig2.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/CalcXnu.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/GenRhoNDiff.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/GenFigures/Contents.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/HDCPNPDPath.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/Contents.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/HDCPNPDDemo.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/HDCPNPDFig.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/HDCPNPDInit.m
SparseLab200-Core/Papers/HDCPNPD/HDCPNPDDemo/HDCPNPDIntro.m
SparseLab200-Core/Papers/HDCPNPD/Contents.m
SparseLab200-Core/Papers/NPSSULE/
SparseLab200-Core/Papers/NPSSULE/NPSSULE.pdf
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/Contents.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/shannon.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/CalcXnu.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/GenRhoNDiff.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/NPSSULETable1.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/PsiCom.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/PsiExt.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/PsiInt.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/PsiNet.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/SeriesMillsSolve.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/PsiSect.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/PsiFace.m
SparseLab200-Core/Papers/NPSSULE/NPSSULEDemo/NPSSULErhoF.mat
SparseLab200-Core/Papers/NPSSULE/Contents.m
SparseLab200-Core/Papers/NRPSHD/
SparseLab200-Core/Papers/NRPSHD/NRPSHD.pdf
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/CalcXnu.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/NRPSHDFig4.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/NRPSHDFig5.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/NRPSHDFig6.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PsiCom.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PsiExt.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PsiInt.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/SeriesMillsSolve.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/NRPSHDFig3.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/NRPSHDFig2.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/NRPSHDFig1.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PsiNet.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/shannon.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PsiSect.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PsiFace.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/FindRhoF.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/FindRhoN.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/GenRhoNDiff.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/yFroms.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/zeta1.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/MillsM.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/PlotLambdaStar.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/GenFigures/Contents.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/Contents.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/NRPSHDFig.m
SparseLab200-Core/Papers/NRPSHD/NRPSHDDemo/NRPSHDPath.m
SparseLab200-Core/Papers/NRP

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