Axial multi-image phase retrieval under tilt illumination
نویسندگان
چکیده
منابع مشابه
Phase retrieval with random phase illumination.
This paper presents a detailed numerical study on the performance of the standard phasing algorithms with random phase illumination (RPI). Phasing with high resolution RPI and the oversampling ratio σ=4 determines a unique phasing solution up to a global phase factor. Under this condition, the standard phasing algorithms converge rapidly to the true solution without stagnation. Excellent approx...
متن کاملEdge illumination X-ray phase tomography of multi-material samples using a single-image phase retrieval algorithm.
In this paper we present a single-image phase retrieval algorithm for multi-material samples, developed for the edge illumination (EI) X-ray phase contrast imaging method. The theoretical derivation is provided, along with any assumptions made. The algorithm is evaluated quantitatively using both simulated and experimental results from a computed tomography (CT) scan using the EI laboratory imp...
متن کاملSingle-image phase retrieval using an edge illumination X-ray phase-contrast imaging setup
A method is proposed which enables the retrieval of the thickness or of the projected electron density of a sample from a single input image acquired with an edge illumination phase-contrast imaging setup. The method assumes the case of a quasi-homogeneous sample, i.e. a sample with a constant ratio between the real and imaginary parts of its complex refractive index. Compared with current meth...
متن کاملImage Retrieval and Reversible Illumination Normalization
We propose a novel approach to retrieve similar images from image databases that works in the presence of significant illumination variations. The most common method to compensate for illumination changes is to perform color normalization. The existing approaches to color normalization tend to destroy image content in that they map distinct color values to identical color values in the transfor...
متن کاملIllumination-invariant image retrieval and video segmentation
Images or videos may be imaged under di erent illuminants than models in an image or video proxy database. Changing illumination color in particular may confound recognition algorithms based on color histograms or video segmentation routines based on these. Here we show that a very simple method of discounting illumination changes is adequate for both image retrieval and video segmentation task...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2017
ISSN: 2045-2322
DOI: 10.1038/s41598-017-08045-3