Noisy speech enhancement using discrete cosine transform
Speech Communication
Image interpolation and resampling
Handbook of medical imaging
Digital Picture Processing
Image resizing in the discrete cosine transform domain
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
The Application of Constrained Least Squares Estimation to Image Restoration by Digital Computer
IEEE Transactions on Computers
Efficient implementation of image interpolation as an inverse problem
Digital Signal Processing
Regularized iterative image interpolation and its application to spatially scalable coding
IEEE Transactions on Consumer Electronics
Enlargement or reduction of digital images with minimum loss of information
IEEE Transactions on Image Processing
Variational method for super-resolution optical flow
Signal Processing
Hi-index | 0.08 |
The high-resolution (HR) image restoration from a downsampled low-resolution (LR) image by using the discrete cosine transform (DCT) is proposed. The downsampling process is modeled in matrix form and the DCT is applied to the downsampling matrix to obtain the sparse matrix representation. The restored HR image is then efficiently computed from the LR image by using the sparsity. The distortion caused by the observation noise is theoretically analyzed, and the power of distortion is shown to be closely equal to the variance of the observation noise. Computer simulations show that the proposed method is superior to the cubic spline interpolation in the HR image restoration performance as far as the amount of the additive noise is small.