Improving frequency domain super-resolution via undersampling model

The super-resolution problem is considered using a meansquared error minimizing solution of a generalized undersampling model in this non-iterative frequency domain approach. While previous frequency domain approaches have been based on a bandlimited image model, this approach uses a non-bandlimited stationary spectral model. This allows improved reconstruction of certain image features. The model and algorithm are presented along with an example.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Ryan S. Prendergast, Truong Q. Nguyen
• Keywords: Frequency Domain Approaches, Generalized Undersampling Model, ICIP 2005, Image Processing, Non-iterative Frequency Domain, Stationary Spectral Model