satoshi ITO1 and Shun UEMATSU1
1Utsunomiya University, Utsunomiya, Japan
1Utsunomiya University, Utsunomiya, Japan
A
CNN-based image reconstruction using phase scrambling Fourier transform imaging
was proposed and demonstrated. It was shown that proposed method showed that
preservation of structure and image contrast were improved compared to standard
Fourier transform based CS-CNN.
Figure 4. Results of reconstructing spatially phase varied images. Figure (a)
and (b) show the phase map and magnitude of fully scanned image. Figure (c) and
(d) are reconstructed images with EsUS and RaUS, respectively. Enlarged images
corresponding to (a) through (d) are shown in (e) through (h).
Figure 2. Comparison of PSNR and SSIM between PSFT-CS-Net and FT-CS-Net for
real-value images.
PSNR results using sampling pattern of Fig.1 (a) are shown. Comparison among
CNN reconstruction using PSFT or FT imaging and conventional iterative
reconstruction were made.