Opto-Electronic Engineering, Volume. 50, Issue 2, 220207(2023)
Multi-frame blind deconvolution of solar images via second-order total generalized variation
Fig. 2. Reconstruction results of the wide field-of-view image. (a) The image with the best overall quality in the input sequence; (b) TVBD; (c) S-TGV; (d) OBD; (e) M-TGV; (f) Speckle reconstruction
Fig. 3. Subregion reconstruction results of the wide field-of-view image. (a) The image with the best overall quality in the input sequence; (b) TVBD; (c) S-TGV; (d) OBD; (e) M-TGV; (f) Speckle reconstruction
Fig. 4. Reconstruction results of different input frames. (a) One frame in the input sequence; (b) ~ (g) The reconstruction results corresponding to input 1, 2, 3, 5, 10 and 20 frames respectively (h) Speckle reconstruction
Fig. 5. The effectiveness of image regularization. (a) One frame in the input sequence; (b) Without regularization; (c) M-TGV; (d) Speckle reconstruction
Fig. 6. Reconstructed images and estimated PSF with different K and β1 values. (a) K=1, β1=0; (b) K=1, β1=10; (c) K=5, β1=0; (d) K=5, β1=10
Fig. 7. Iteration curves of the objective function. (a) Fourth scale; (b) Third scale; (c) Second scale; (d) First scale
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Shuai Wang, Chunyuan He, Huiqin Rong, Hua Bao, Jialin Hou, Changhui Rao. Multi-frame blind deconvolution of solar images via second-order total generalized variation[J]. Opto-Electronic Engineering, 2023, 50(2): 220207
Category: Article
Received: Aug. 27, 2022
Accepted: Jan. 3, 2023
Published Online: Apr. 13, 2023
The Author Email: Bao Hua (hbao@ioe.ac.cn)