Artefact removal from micrographs with deep learning based inpainting
نویسندگان
چکیده
We present a novel inpainting algorithm for microstructural image data using generative adversarial networks. This enables fast artefact removal via simple graphical user interface.
منابع مشابه
Object Removal Using Exemplar-Based Inpainting
Two commonly used approaches to fill the gaps after objects are removed from digital graphics are: image inpainting and texture synthesis. Both approaches have its advantages and disadvantages. Image inpainting will cause blur, while texture synthesis will lead to loss of linear structures. Criminisi, etc., combined the two approaches to a new algorithm that utilized the advantages of both appr...
متن کاملObject Removal by Exemplar-Based Inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has been addressed by two classes of algorithms: (i) “texture synthesis” algorithms for generating large image regions from sample textures, and (ii) “inpainting” techniques for filling in small image gaps. Th...
متن کاملDeep Structured Energy-Based Image Inpainting
In this paper, we propose a structured image inpainting method employing an energy based model. In order to learn structural relationship between patterns observed in images and missing regions of the images, we employ an energybased structured prediction method. The structural relationship is learned by minimizing an energy function which is defined by a simple convolutional neural network. Th...
متن کاملTable-form Extraction with Artefact Removal
In this paper we present a novel methodology to recognize the layout structure of handwritten filled table-forms. Recognition methodology includes locating line intersections, correcting wrong intersections produced by what we call artefacts (overlapping data, broken segments and smudges), extracting correct table-form cells and using as little previous tableform knowledge as possible. To impro...
متن کاملDeep Blind Image Inpainting
Image inpainting is a challenging problem as it needs to fill the information of the corrupted regions. Most of the existing inpainting algorithms assume that the positions of the corrupted regions are known. Different from the existing methods that usually make some assumptions on the corrupted regions, we present an efficient blind image inpainting algorithm to directly restore a clear image ...
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: Digital discovery
سال: 2023
ISSN: ['2635-098X']
DOI: https://doi.org/10.1039/d2dd00120a