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. Author manuscript; available in PMC: 2015 Apr 28.
Published in final edited form as: IEEE Trans Image Process. 2014 Apr 1;23(6):2423–2435. doi: 10.1109/TIP.2014.2315156

Figure 8.

Figure 8

Deconvolution of a 3D fluorescence microscope dataset. (a) is the original image. (b) is the blurred image using a Gaussian filter with standard deviation of 1 and size 5 × 5 × 5 with additive Gaussian noise (σ = 0.01). (c) to (e) are deblurred images using 3D-TV, 3D-HDTV2, 3D-HDTV3, separately. We observe that the 3D-TV recovery is very patchy and some small details are lost, while the HDTV methods preserve the line-like features (indicated by green arrows) with a 0.2 dB improvement in SNR.