iMOSFLM: a new graphical interface for diffraction-image processing withMOSFLM

iMOSFLM: a new graphical interface for diffraction-image processing with MOSFLM

iMOSFLM is a graphical user interface to the diffraction data-integration program MOSFLM. It is designed to simplify data processing by dividing the process into a series of steps, which are normally carried out sequentially. Each step has its own display pane, allowing control over parameters that influence that step and providing graphical feedback to the user. Suitable values for integration...

Autoindexing diffraction images with iMosflm

An overview of autoindexing diffraction images based on one-dimensional fast Fourier transforms is presented. The implementation of the algorithm in the Mosflm/iMosflm program suite is described with a discussion of practical issues that may arise and ways of assessing the success or failure of the procedure. Recent developments allow indexing of images that show multiple lattices, and several ...

A Graphical Interface for Evaluating Three Graph-Based Image Segmentation

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...

Graphical Processing Unit Assisted Image Processing for Accelerated Eye Tracking

Eye tracking is a well-established tool utilised in research areas such as neuroscience, psychology and marketing. There are currently many different types of eye trackers available, the most common being video-based remote eye trackers. Many of the currently available remote eye trackers are either expensive, or provide a relatively low sampling frequency. The goal of this dissertation is to p...