We have described a fundamental incompleteness in the data collected by this method of upsampling, which calls for the incorporation of some form of extra information about the signal. With this necessity we have motivated the use of techniques that recover not the signal directly, but sparse ...
The reconstructed base layer signal is upsampled to predict its higher spatial layer signal, using 4-taps FIR filters. This simple predictive approach can be significantly improved using upsampling techniques exploiting better the signal properties. The goal of sparse approximation techniques is to look...
Our proposed DRHT network achieves an average increase in peak signal to noise ratio (PSNR) of 17.73 dB and a structural similarity index (SSIM) of 0.161, for 8脳 upsampling, across the three diverse datasets, compared to their respective Bicubic interpolated versions. This novel approach can ...
For that reason, we leverage the CARLA z-buffer to obtain fine-granular depth and then sparsify the signal to simulate LiDAR scans. 3 Method Our method, shown in Fig. 3, consists of two main components that include an adaptation of the synthetic data to make it similar to the real data...
In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for epileptic electroencephalogram (EEG) signal classification. The goal... J Wang,R Gao,H Zheng,... - 《IEEE Transactions on Neural Networks & Learning Systems》 被引量: 0发表: 2024年 Pseudoinverse graph conv...
Ferstl D, Reinbacher C, Ranftl R, Rüther M, Bischof H (2013) Image guided depth upsampling using anisotropic total generalized variation. In: 2013 IEEE International conference on computer vision (ICCV). IEEE, pp 993–1000 Schneider N, Schneider L, Pinggera P, Franke U, Pollefeys M, Stil...
areductionof70%intherootmeansquarederror,anincrementof10.3dBinthepeaksignal-to-noise ratio,andanagreementof85%inthebinarygraymattersegmentations.Theproposedmethodisshown tooutperformarecentstate-of-the-artalgorithm,suggestingasubstantialimpactinvoxel-basedmor- ...
The second is a series of upsampling (decreasing CMP bin size) tests. The test results show that (a) 5D interpolation provides an opportunity to reduce acquisition cost with thoughtful design; (b) 5D interpolation can eliminate acquisition footprints and increase the signal-to-noise ratio of ...
Magnetic resonance images of neonates, compared with toddlers, exhibit lower signal-to-noise ratio and spatial resolution. In this paper, we propose a novel method for super-resolution reconstruction of neonate images with the help of toddler images, using residual-structured sparse representation with...
Generally, the average relative error over the whole dataset falls below 0.18%, the average peak signal-to-noise ratio exceeds 52 dB, and the average structural similarity index measurement surpasses 0.999. As the number of span-wise sections and the amount of information in the input increase,...