Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: (a) A low-resolution image; (b) The super-resolution image using bicubic interpolation method (note the blur effect); (c) The super-resolution image by nearest-neighbor interpolation method (note the jaggy effect on the edges); The upscaling factor is 4.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques:

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Compare the proposed algorithm with some state-of-the-art approaches: Bicubic interpolation, 07’TIP [59], 08’TOG [53], 10’TIP [71], 11’IPOL [27], 11’SIAM [26] and 14’TIP [65]. The upscaling factor is 3. No ground-truth high-resolution images are available for quantitative comparison. Color images are better visualized in the pdf file.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques: Comparison

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Compare the proposed algorithm with some state-of-the-art approaches: Bicubic interpolation, 07’TIP [59], 08’TOG [53], 10’TIP [71], 11’IPOL [27], 11’SIAM [26] and 14’TIP [65]. The upscaling factor is 3. No ground-truth high-resolution images are available for quantitative comparison.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques: Comparison

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Qualitative comparison for the image “face” among the proposed method and Bicubic, “08’TOG” [53], “10’TIP” [71], “11’IPOL” [27] and “14’TIP” [65], with the upscaling factor of 2.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques: Comparison

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Results of “baby” with the upscaling factor of 2; First row: Ground-truth image, Bicubic interpolation (RMSE = 3.58; PSNR = 37.06; SSIM = 0.993), “07’SPIE” [45] (3.73; 36.70; 0.996); Second row: “08’TOG” [53] (4.32; 35.43; 0.982), “10’TIP” [71] (3.40; 37.51; 0.995), “11’IPOL” [27] (3.37; 37.58; 0.997); Third row: “11’SIAM” [26] (3.24; 37.93; 0.997), “14’TIP” [65] (4.19; 36.82; 0.985) and the proposed method (3.17; 38.19; 0.997).

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques:

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Results of “baboon” (upscaling factor 4) and “forest” (upscaling factor 4); Compared methods: Bicubic interpolation, “08’TOG” [53], “10’TIP” [71], “11’IPOL” [27] and “14’TIP” [65] and ours. In particular, readers are recommended to zoom in all figures for better visualization.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques:

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Quantitative Comparisons for Different Methods in Terms of RMSE, PSNR and SSIM (Bold: the Best one; Underline: the Second Best). Compared Methods: Bicubic Interpolation, “08’TOG” [ 53 ], “10’TIP” [ 71 ], “11’IPOL” [ 27 ] AND “14’TIP” [ 65 ] and the Proposed Method.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques:

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Results of “dog” (upscaling factor 3) and “field” (upscaling factor 3); Compared methods: Bicubic interpolation, “08’TOG” [53], “10’TIP” [71], “11’IPOL” [27] and “14’TIP” [65] and the proposed method.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques:

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Results of “lion” with the upscaling factor of 3; Compared methods: Bicubic interpolation, “08’TOG” [53], “10’TIP” [71], “11’IPOL” [27] and “14’TIP” [65] and the proposed method.

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques:

Journal: IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society

Article Title: Single image super-resolution via an iterative reproducing kernel Hilbert space method

doi: 10.1109/TCSVT.2015.2475895

Figure Lengend Snippet: Time Comparison for Different Methods (Bold: the Best One; Underline: the Second Best). Compared Methods: Bicubic Interpolation, “08’TOG” [ 53 ], “10’TIP” [ 71 ], “11’IPOL” [ 27 ], “14’TIP” [ 65 ] and the Proposed Method. Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively. Only “10’TIP” and the Proposed Method are Based on MATLAB Codes that are not Optimized. (Unit: Second)

Article Snippet: Note that Bicubic is Optimized in MATLAB, “08’TOG” is Optimized By an Executable Software, “11’IPOL” and “14’TIP” are Speeded Up Via C Language and Cmex, Respectively.

Techniques: Comparison, Software