Laser & Optoelectronics Progress, Volume. 55, Issue 2, 021004(2018)
Denosing Model Based on Double-Fidelity Total Variation
Fig. 1. Images of butterfly. (a) Original image; (b) image with noise; denoised images using (c) TV model; (d) ATV model; (e) TGV model, and (f) DFTV model
Fig. 2. Image of pepper. (a) Original image; (b) image with noise; denoised images using (c) TV model; (d) ATV model; (e) TGV model, and (f) DFTV model
Fig. 3. Enlarged drawing. (a) Image of pepper with noise; (a1) enlargement of red box in (a); denoised (a1) using (a2) TV model, (a3) TGV model, and (a4) DFTV model; (b) image of butterfly with noise; (b1) enlargement of red box in (b); denoised (b1) using (b2) TV model, (b3) TGV model, and (b4) DFTV model
Fig. 4. Image of airfield. (a) Original image; denoised images using (b) TV model, (c) ATV model, (d) TGV model, and (e) DFTV model
Fig. 5. (a) Image of airfield; (b1) enlargement of blue box in (a); denoised (b1) using (b2) TV model, (b3) ATV model, (b4) TGV model, and (b5) DFTV model; (c1) enlargement of red box in (a); denoised (c1) using (c2) TV model, (c3) ATV model, (c4) TGV model, and (c5) DFTV model; (d1) enlargement of yellow box in (a); denoised (d1) using (d2) TV model, (d3) ATV model, (d4) TGV model, and (d5) DFTV model
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Boyu Jiang, Jian Zhang. Denosing Model Based on Double-Fidelity Total Variation[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021004
Category: Image processing
Received: Aug. 1, 2017
Accepted: --
Published Online: Sep. 10, 2018
The Author Email: Boyu Jiang (372112618@qq.com)