Alternatives to Image Quality (IQ) Mapping in EBSD

CID: IQ - A New Image Quality Database

The aim of our study is to develop a new image quality database: CID:IQ (Colorlab Image Database: Image Quality) which is capable of evaluating and benchmarking image quality algorithms. A large number of image quality algorithms, also known as image quality metrics, have been developed over last two decades and the amount of metrics has continued to grow. The fact is, existing image quality da...

Errors, artifacts, and improvements in EBSD processing and mapping.

Electron back scatter diffraction (EBSD) mapping and indexing has rapidly come into widespread use. However, inadequate attention has been paid to the details of the method. Many of the algorithms in current use were chosen because they were the first ones that were found to work, rather than because they were optimum. Results of systematic study are presented. It is shown that more than one me...

Image Quality Measures for Evaluating Gamut Mapping

In this paper we compare different image quality measures for the gamut mapping problem, and validate them using psychovisual data from four recent gamut mapping studies. The psychovisual data are choice data of the form: given an original image and two images obtained by applying different gamut mapping algorithms, an observer chooses the one that reproduces the original image better in his/he...

Analysis of Dynamic Recrystallization of Ice from EBSD Orientation Mapping

We present high resolution observations of microstructure and texture evolution during dynamic recrystallization (DRX) of ice polycrystals deformed in the laboratory at high temperature (≈0.98Tm). Ice possesses a significant viscoplastic anisotropy that induces strong strain heterogeneities, which result in an early occurrence of DRX mechanisms. It is therefore a model material to explore these...

Image IQ: Food “Sticks” in Throat