Mathematical Problems in Engineering / 2014 / Article / Fig 5

Research Article

TV+TV2 Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration

Figure 5

Comparison of Shepp-Logan phantom image reconstruction from 9.36% DCT data. First column from up to down: original image, back projection image (PSNR = 56.9194, MSE = 0.1322, and SSIM = 0.2790), results of the TV method (PSNR = 65.1352, MSE = 0.0274, and SSIM = 0.9768), results of the TV+TV2 method (PSNR = 65.3658, MSE = 0.0189, and SSIM = 0.9820), and results of our proposed method (PSNR = 66.6062, MSE = 0.0142, and SSIM = 0.9896). Second column: close-up image in the red box. Third column: 3D close-up intensity profile in the red box. Fourth column: SSIM map.
790547.fig.005

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19.