40 citations · 106 across the 11 of their papers we have counts for
11 papers
Visible and infrared self-supervised fusion trained on a single example
Nati Ofir, Jean-Christophe Nebel
Multispectral imaging is an important task of image processing and computer vision, which is especially relevant to applications such as dehazing or object detection. With the deve…
Defect Detection Approaches Based on Simulated Reference Image
Nati Ofir, Yotam Ben Shoshan, Ran Badanes +1
This work is addressing the problem of defect anomaly detection based on a clean reference image. Specifically, we focus on SEM semiconductor defects in addition to several natural…
Automatic defect segmentation by unsupervised anomaly learning
Nati Ofir, Ran Yacobi, Omer Granoviter +2
This paper addresses the problem of defect segmentation in semiconductor manufacturing. The input of our segmentation is a scanning-electron-microscopy (SEM) image of the candidate…
Multispectral image fusion based on super pixel segmentation
Nati Ofir, Jean-Christophe Nebel
Multispectral image fusion is a computer vision process that is essential to remote sensing. For applications such as dehazing and object detection, there is a need to offer soluti…
Classic versus deep learning approaches to address computer vision challenges
Nati Ofir, Jean-Christophe Nebel
Computer vision and image processing address many challenging applications. While the last decade has seen deep neural network architectures revolutionizing those fields, early met…
Multi-scale Processing of Noisy Images using Edge Preservation Losses
Nati Ofir, Yosi Keller
Noisy images processing is a fundamental task of computer vision. The first example is the detection of faint edges in noisy images, a challenging problem studied in the last decad…
Deep Multi-Spectral Registration Using Invariant Descriptor Learning
Nati Ofir, Shai Silberstein, Hila Levi +3
In this paper, we introduce a novel deep-learning method to align cross-spectral images. Our approach relies on a learned descriptor which is invariant to different spectra. Multi-…
Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor
Nati Ofir, Shai Silberstein, Dani Rozenbaum +2
In this paper we introduce a fully end-to-end approach for multi-spectral image registration and fusion. Our method for fusion combines images from different spectral channels into…
Photometric Stereo by Hemispherical Metric Embedding
Ofer Bartal, Nati Ofir, Yaron Lipman +1
Photometric Stereo methods seek to reconstruct the 3d shape of an object from motionless images obtained with varying illumination. Most existing methods solve a restricted problem…
On Detection of Faint Edges in Noisy Images
Nati Ofir, Meirav Galun, Sharon Alpert +3
A fundamental question for edge detection in noisy images is how faint can an edge be and still be detected. In this paper we offer a formalism to study this question and subsequen…
Fast Detection of Curved Edges at Low SNR
Nati Ofir, Meirav Galun, Boaz Nadler +1
Detecting edges is a fundamental problem in computer vision with many applications, some involving very noisy images. While most edge detection methods are fast, they perform well…