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We tackle the problem of reflectance estimation from a set of multi-view images, assuming known geometry. The approach we put forward turns the input images into reflectance maps, through a robust variational method. The variational model…

Computer Vision and Pattern Recognition · Computer Science 2018-01-24 Jean Mélou , Yvain Quéau , Jean-Denis Durou , Fabien Castan , Daniel Cremers

Synthetic aperture radar (SAR) images are subject to prominent speckle noise, which is generally considered a purely multiplicative noise process. In theory, this multiplicative noise is that the ratio of the standard deviation to the…

Computer Vision and Pattern Recognition · Computer Science 2016-08-09 Mario Mastriani , Alberto E. Giraldez

Synthetic Aperture RADAR is a radar imaging technique in which the relative motion of the sensor is used to synthesize a very long antenna and obtain high spatial resolution. The increasing interest of the scientific community to simplify…

Signal Processing · Electrical Eng. & Systems 2018-06-05 Cataldo Guaragnella , Tiziana D'Orazio

A method for segmenting water bodies in optical and synthetic aperture radar (SAR) satellite images is proposed. It makes use of the textural features of the different regions in the image for segmentation. The method consists in a…

Computer Vision and Pattern Recognition · Computer Science 2016-04-12 Victor Manuel San Martin , Alejandra Figliola

There is widespread interest in estimating the fluorescence properties of natural materials in an image. However, the separation between reflected and fluoresced components is difficult, because it is impossible to distinguish reflected and…

Computer Vision and Pattern Recognition · Computer Science 2016-05-16 Henryk Blasinski , Joyce Farrell , Brian Wandell

This paper concerns electromagnetic 3D subsurface imaging in connection with sparsity of signal sources. We explored an imaging approach that can be implemented in situations that allow obtaining a large amount of data over a surface or a…

Instrumentation and Methods for Astrophysics · Physics 2016-08-26 Sampsa Pursiainen , Mikko Kaasalainen

Aperture synthesis techniques are increasingly being employed to provide high angular resolution images in situations where the object of interest is in the near field of the interferometric array. Previous work has showed that an aperture…

Instrumentation and Methods for Astrophysics · Physics 2023-07-19 David F. Buscher

Synthesizing a densely sampled light field from a single image is highly beneficial for many applications. The conventional method reconstructs a depth map and relies on physical-based rendering and a secondary network to improve the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-01 Andre Ivan , Williem , In Kyu Park

Synthetic aperture radar (SAR) can measure the phase with antenna and microwave, which cannot be directly extended to visible light imaging due to phase lost. In this letter, we reported an active remote sensing with visible light via…

Optics · Physics 2022-04-26 Meng Xiang , An Pan , Yiyi Zhao , Xuewu Fan , Hui Zhao , Chuang Li , Baoli Yao

We develop an efficient algorithm for Synthetic Aperture Sonar imaging based on the one-way wave equations. The algorithm utilizes the operator-splitting method to integrate the one-way wave equations. The well-posedness of the one-way wave…

Numerical Analysis · Mathematics 2009-07-14 Quyen Huynh , Kazufumi Ito

Change detection from synthetic aperture radar (SAR) imagery is a critical yet challenging task. Existing methods mainly focus on feature extraction in spatial domain, and little attention has been paid to frequency domain. Furthermore, in…

Computer Vision and Pattern Recognition · Computer Science 2022-02-16 Xiaofan Qu , Feng Gao , Junyu Dong , Qian Du , Heng-Chao Li

This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to the higher resolution of the companion RGB image. A…

Computer Vision and Pattern Recognition · Computer Science 2019-06-26 Bjoern Haefner , Songyou Peng , Alok Verma , Yvain Quéau , Daniel Cremers

This book chapter describes how spectral correlations in scattered light fields can be utilized for high-precision time-of-flight sensing. The chapter should serve as a gentle introduction and is intended for computational imaging…

Optics · Physics 2022-09-13 Florian Willomitzer

Real-world deployment of AI vision models is both fueled and limited by the data available for training and testing. Real datasets are sparse and uneven: long-tailed or unbalanced distributions hinder generalization, and the low number of…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Valeria Pais , Malena Mendilaharzu , Daniele Faccio , Luis Oala , Christoph Clausen , Bruno Sanguinetti

We investigate the problem of shaping radially symmetric annular beams into desired intensity patterns along the optical axis. Within the Fresnel approximation, we show that this problem can be expressed in a variational form equivalent to…

Optimization and Control · Mathematics 2015-06-16 John A. Gemmer , Shankar C. Venkataramani , Charles G. Durfee , Jerome V. Moloney

Synthetic Aperture Radar (SAR) images are usually degraded by a multiplicative noise known as speckle which makes processing and interpretation of SAR images difficult. In this paper, we introduce a transformer-based network for SAR image…

Computer Vision and Pattern Recognition · Computer Science 2022-01-25 Malsha V. Perera , Wele Gedara Chaminda Bandara , Jeya Maria Jose Valanarasu , Vishal M. Patel

This work aims to build connections between the electromagnetic and communication aspects of Reconfigurable Intelligent Surfaces (RIS) by proposing a methodology to combine outputs from electromagnetic RIS design into an RIS-tailored…

Applied Physics · Physics 2025-01-03 Sravan K. R. Vuyyuru , Le Hao , Markus Rupp , Sergei A. Tretyakov , Risto Valkonen

Anomaly detection plays a vital role in industrial manufacturing. Due to the scarcity of real defect images, unsupervised approaches that rely solely on normal images have been extensively studied. Recently, diffusion-based generative…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Sungho Kang , Hyunkyu Park , Yeonho Lee , Hanbyul Lee , Mijoo Jeong , YeongHyeon Park , Injae Lee , Juneho Yi

Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allows one to reconstruct a high-resolution, wide field-of-view image by computationally integrating a diverse collection of low-resolution,…

Image and Video Processing · Electrical Eng. & Systems 2025-07-21 Matthew A. Chan , Casey J. Pellizzari , Christopher A. Metzler

With the introduction of consumer light field cameras, light field imaging has recently become widespread. However, there is an inherent trade-off between the angular and spatial resolution, and thus, these cameras often sparsely sample in…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Nima Khademi Kalantari , Ting-Chun Wang , Ravi Ramamoorthi