Abstract: Least-squares migration (LSM) aims to seek the best-fit solution for subsurface reflectivity with high image resolution and balanced amplitudes by minimizing the mismatching between ...
Abstract: Obtaining an on-orbit space camera’s point spread function (PSF) is challenging but necessary for remote sensing image (RSI) restoration. Current methods rely on regular ground targets, ...
Currently, numpy provides np.mean, np.median, and np.std, among other descriptive statistics. However, it lacks a convenient way to compute the mode of the integer parts of an array containing ...
Abstract: Deep-Iearning (DL)-based image deconvolution (ID) has exhibited remarkable recovery performance, surpassing traditional linear methods. However, unlike traditional ID approaches that rely on ...
Abstract: Optical aberration is a ubiquitous degeneration in realistic lens-based imaging systems. Optical aberrations are caused by the differences in the optical path length when light travels ...
Abstract: In this paper, we propose a method of reconstructing surface from point cloud using sparse ellipsoid radial basis functions(RBFs). The experimental results ...
Abstract: A Distributed Point Function (DPF) is a crypto-graphic primitive used for compressing additive secret shares of a secret unit vector across two parties. Many DPF applications require ...
Abstract: Seismic migrations are generally formulated as the adjoint operators of linear forward modeling and often lead to images with degraded resolution, unbalanced illumination, and migration ...
Abstract: A three-dimensional (3D) fingerprint recognition and identification system offers several advantages: in addition to sharing the hygiene property of a 2D contactless fingerprint system in ...
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