Acta Optica Sinica, Volume. 38, Issue 9, 0910002(2018)
Collaborative Sparse Dictionary Learning for Reconstruction of Single Image Super Resolution
Fig. 1. L2,1-norm based on collaborative sparse representations
Fig. 2. Test images
Fig. 3. (a) Convergence of objective function Eq. (5) along with the increasing of iteration number; (b) average PSNR with different clustering number K; (c) average PSNR with different dictionary size M; (d) average PSNR with different λ
Fig. 4. Visual comparisons of different SR results on No. 1 image using different methods.(a) Original HR image; (b) Bicubic algorithm; (c) NE + LLE algorithm; (d) SCSR algorithm; (e) Zeyde algorithm; (f) ANR algorithm; (g) A+ algorithm; (h) SRCNN algorithm; (i) proposed algorithm
Fig. 5. Visual comparisons of different SR results on No. 3 image using different methods.(a) Original HR image; (b) Bicubic algorithm; (c) NE + LLE algorithm; (d) SCSR algorithm; (e) Zeyde algorithm;(f) ANR algorithm; (g) A+ algorithm; (h) SRCNN algorithm; (i) proposed algorithm
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Kang Qiu, Benshun Yi, Mian Xiang, Jinsheng Xiao. Collaborative Sparse Dictionary Learning for Reconstruction of Single Image Super Resolution[J]. Acta Optica Sinica, 2018, 38(9): 0910002
Category: Image Processing
Received: Jan. 18, 2018
Accepted: Apr. 16, 2018
Published Online: May. 9, 2019
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