Weighted gradient domain image processing problems and their iterative solutions

Weighted gradient domain image processing problems and their iterative solutions

This article explores an energy function and its minimization for the weighted gradient domain image processing, where variable weights are applied to the data term of conventional function for attaining better results in some applications. To be specific, larger weights are given to the regions where original pixel values need to be kept unchanged, like strong edge regions in the case of image...

On Variational Problems and Gradient Flows in Image Processing

Gradient-Domain Processing for Large EM Image Stacks

We propose a new gradient-domain technique for processing registered EM image stacks to remove the inter-image discontinuities while preserving intra-image detail. To this end, we process the image stack by first performing anisotropic diffusion to smooth the data along the slice axis and then solving a screened-Poisson equation within each slice to re-introduce the detail. The final image stac...

Gradient-Domain Processing of Meshes

This paper describes an implementation of gradient-domain processing for editing the geometry of triangle meshes in 3D. We show applications to mesh smoothing and sharpening and describe anisotropic extensions that enable edge-aware processing.

Iterative Solutions using Programmable Graphics Processing Units

This work investigates the feasibility of implementing an iterative algorithm on a programmable GPU (PGPU) using the Fuzzy C-Means (FCM) algorithm. The PGPU has been shown to provide significant reductions in computation times for a variety of non-iterative algorithms. However the feasibility of implementing complex iterative algorithms within a programmable graphics pipeline has yet to be dete...