SIRF: Synergistic Image Reconstruction Framework

SIRF: Simultaneous Image Registration and Fusion in A Unified Framework

In this paper, we propose a novel method for image fusion with a high-resolution panchromatic image and a lowresolution multispectral image at the same geographical location. The fusion is formulated as a convex optimization problem which minimizes a linear combination of a least-squares fitting term and a dynamic gradient sparsity regularizer. The former is to preserve accurate spectral inform...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Refinement of SIRF for SASS

The utility of scatterometer data is increased by the scatterometer image reconstruction with lter (SIRF) algorithm. This method uses several passes of the satellite to e ectively enhance the spatial resolution of the data. Three parameters of SIRF in uence its ability to converge to the true values and must be tuned when SIRF is applied to data from di erent instruments. Initialization values,...

A New Shearlet Framework for Image Denoising

Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed. In Bayesshrink method, sharp features are preserved. However, PSNR (Peak Signal-to-Noise Ratio) is considerably low. BLS-GSM generates some discontinuous information during the course of denoising a...