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Polarimetric imaging provides valuable insights into the polarization state of light interacting with a sample. It can infer crucial birefringence properties of bio-specimens without using any labels, thereby facilitating the diagnosis of…

The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers minimally invasive methods to probe the brain using optics…

Polarization information of the light can provide rich cues for computer vision and scene understanding tasks, such as the type of material, pose, and shape of the objects. With the advent of new and cheap polarimetric sensors, this imaging…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Joaquin Rodriguez , Lew-Fock-Chong Lew-Yan-Voon , Renato Martins , Olivier Morel

The human visual system is capable of processing continuous streams of visual information, but how the brain encodes and retrieves recent visual memories during continuous visual processing remains unexplored. This study investigates the…

Computation and Language · Computer Science 2024-10-01 Runze Xia , Congchi Yin , Piji Li

A definition of depolarization factors for anisotropic ellipsoid in an anisotropic medium is considered. The expressions for these factors are derived, which generalize some results known for special cases, and differences from the usual…

Materials Science · Physics 2015-06-15 L. A. Apresyan , D. V. Vlasov

We investigate the polarization dependence of optical nonlinearity enhancement for a uniaxial anisotropic composite of metal nanocrystals in a dielectric host. Three cases are distinguished depending on whether the polarization is parallel,…

Soft Condensed Matter · Physics 2007-05-23 K. P. Yuen , M. F. Law , K. W. Yu , Ping Sheng

Deep algorithm unrolling has emerged as a powerful model-based approach to develop deep architectures that combine the interpretability of iterative algorithms with the performance gains of supervised deep learning, especially in cases of…

Computer Vision and Pattern Recognition · Computer Science 2021-09-30 Yair Ben Sahel , John P. Bryan , Brian Cleary , Samouil L. Farhi , Yonina C. Eldar

This paper addresses reflection removal, which is the task of separating reflection components from a captured image and deriving the image with only transmission components. Considering that the existence of the reflection changes the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-29 Wenjiao Bian , Yusuke Monno , Masatoshi Okutomi

Polarization arises when the underlying network connecting the members of a community or society becomes characterized by highly connected groups with weak inter-group connectivity. The increasing polarization, the strengthening of echo…

Social and Information Networks · Computer Science 2023-04-06 Ruben Interian , Ruslan G. Marzo , Isela Mendoza , Celso C. Ribeiro

The polarization of masers contains information on the magnetic field strength and direction of the regions they occur in. Many maser polarization observations have been performed over the last 30 years. However, versatile maser…

Instrumentation and Methods for Astrophysics · Physics 2019-08-07 Boy Lankhaar , Wouter Vlemmings

This study addresses the critical need for high signal-to-noise ratio in optical detection methods for biological sample discrimination under low-photon-flux conditions to ensure accuracy without compromising sample integrity. We explore…

Optics · Physics 2024-01-22 L. Zhang , V. R. Besaga , P. Rühl , C. Zou , S. H. Heinemann , Y. Wang , F. Setzpfandt

Many polarisation techniques have been harnessed for decades in biological and clinical research, each based upon measurement of the vectorial properties of light or the vectorial transformations imposed on light by objects. Various…

Optics · Physics 2021-08-11 Chao He , Honghui He , Jintao Chang , Binguo Chen , Hui Ma , Martin J. Booth

Linear matrix factorizations (LMFs) such as independent component analysis (ICA), principal component analysis (PCA), and their extensions, have been widely used for finding relevant spatial maps in brain imaging data. The last step of an…

Quantitative Methods · Quantitative Biology 2021-10-14 Hyekyoung Lee , Hyejin Kang , Youngmin Huh , Hongyoon Choi , Dong Soo Lee

Median filtering is a cornerstone of computational image processing. It provides an effective means of image smoothing, with minimal blurring or softening of edges, invariance to monotonic transformations such as gamma adjustment, and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Ben Weiss

We present a generalized formalism to describe the optical energy flow and spatially resolved absorption in arbitrarily anisotropic layered structures. The algorithm is capable of treating any number of layers of arbitrarily anisotropic,…

When light scatters off an object its polarization, in general, changes - a transformation described by the object's Mueller matrix. Mueller matrix imaging polarimetry is an important technique in science and technology to image the…

Efficient lossless coding of medical volume data with temporal axis can be achieved by motion compensated wavelet lifting. As side benefit, a scalable bit stream is generated, which allows for displaying the data at different resolution…

Image and Video Processing · Electrical Eng. & Systems 2023-02-03 Daniela Lanz , André Kaup

Data compression is a method of improving the efficiency of transmission and storage of images. Dithering, as a method of data compression, can be used to convert an 8-bit gray level image into a 1-bit / binary image. Undithering is the…

Computer Vision and Pattern Recognition · Computer Science 2011-08-17 V. Asha

Processing faces accurately and efficiently is a key capability of humans and other animals that engage in sophisticated social tasks. Recent studies reported a decoupled coding for faces in the primate inferotemporal cortex, with two…

Neurons and Cognition · Quantitative Biology 2023-01-19 Miguel Ibáñez-Berganza , Carlo Lucibello , Luca Mariani , Giovanni Pezzulo

Since specular reflection often exists in the real captured images and causes deviation between the recorded color and intrinsic color, specular reflection separation can bring advantages to multiple applications that require consistent…

Computer Vision and Pattern Recognition · Computer Science 2022-01-26 Sijia Wen , Yingqiang Zheng , Feng Lu
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