Lei Zhang’s homepage
Weisheng Dong, Lei Zhang, Rastislav Lukac, and Guangming Shi
“Sparse Representation based Image Interpolation with
Nonlocal Autoregressive Modeling”
IEEE Trans. on Image Processing, vol. 22, no. 4, pp. 1382-1394, Apr. 2013.
Paper:
download here
Code:
download here
The simulated low-resolution images used in our experiments can be downloaded from here: LR_X2_Images; LR_X3_Images.
The code for generating the low-resolution images can be downloaded from here: Gen_LR_Images.
Experiment 1:
Scaling factor s=2
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The
interpolation results on Butterfly
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The
interpolation results on Cameraman
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The
interpolation results on Fence
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The
interpolation results on Foreman
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The
interpolation results on Girl
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The
interpolation results on House
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The
interpolation results on Leaves
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The
interpolation results on Lena
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The
interpolation results on Parthenon
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The
interpolation results on Starfish
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Experiment 2:
Scaling factor s=3
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The
interpolation results on Butterfly
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The
interpolation results on Cameraman
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The
interpolation results on Fence
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The
interpolation results on Foreman
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The
interpolation results on Girl
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The
interpolation results on House
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The
interpolation results on Leaves
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The
interpolation results on Lena
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The
interpolation results on Parthenon
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The
interpolation results on Starfish
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Notes:
(1) The new edge directed interpolation method in [1] is labeled as “NEDI”;
(2) The directional filtering and data fusion method in [2] is labeled as “DFDF”;
(3) The soft-decision and adaptive interpolation method in [3] is labeled as “SAI”;
(4) The sparse representation based algorithm in [4] is labeled as “ScSR”;
(5) The sparse mixing estimation based interpolation method in [5] is labeled as “SME”;
(6) The proposed interpolation method is labeled as “NARM_SRM_NL”.
The other three variants of the proposed method (i.e., “SRM”, “SRM_NL”, and “NARM_SRM”) and the two DCT-based methods (i.e., “DCT_SRM” and “DCT_NARM_SRM_NL”), as shown in the experimental part of the revised manuscript, are also included in the zip files.
References:
[1] Xin Li and M. T. Orchard, “New
edge-directed interpolation,” IEEE Trans. Image Processing, vol.
10, pp. 1521-1527, Oct. 2001.
[2] Lei Zhang and X. Wu, “An edge guided
image interpolation algorithm via directional filtering and data fusion,”
IEEE Trans. on Image Processing, vol. 15, pp. 2226-2238, Aug. 2006.
[3] X. Zhang and X. Wu, “Image
interpolation by adaptive 2D autoregressive modeling and soft-decision
estimation,” IEEE Trans. Image
Process., vol. 17, no. 6, pp. 887-896, Jun. 2008.
[4] Jianchao Yang, John Wright, Thomas Huang and Yi
Ma, “Image Super-Resolution via Sparse Representation”, IEEE
Trans. Image Process., vol. 19, no.
11, pp. 2861-2873, Nov. 2010.
[5] S.Mallat and G.Yu, “Super-Resolution with Sparse Mixing
Estimators,” IEEE Trans. on Image Processing, vol. 19, no.
11, pp. 2889-2900, Nov. 2010.