Compressed sensing ghost imaging
WebJan 5, 2024 · The columns show the ghost image reconstruction obtained using each individual harmonic SSVEP energy and then for the total energy (sum over all harmonics). ... Katkovnik V, Astola J. Compressive sensing computational ghost imaging. J Opt Soc Am A Opt Image Sci Vis. 2012;29(8):1556–1567. Google Scholar. 31. WebWe describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, based on compressed sensing. Utilizing this algorithm, we experimentally demonstrate a 10-fold reduction in the required acquisition …
Compressed sensing ghost imaging
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WebSep 19, 2024 · The non-negativity of the measurement matrix in the traditional compressed ghost imaging system and iterative optimization process leads to low imaging quality … WebAug 1, 2013 · The formula of ghost imaging via compressive sensing algorithm was as follows: T c s = T; min T (x, y) L 1 B r = ∫ d x d y I r (x, y) T (x, y); ∀ r = 1, ⋅ ⋅ ⋅ ⋅, N. T cs …
WebJan 13, 2024 · Compressive ghost imaging (CGI) can effectively reduce the number of measurements required for ghost imaging reconstruction. In most cases, however, when using illumination patterns as measurement matrices, CGI has not demonstrated the ability to reconstruct high-quality images at an ultra-low sampling rate as perfect as claimed by … WebApr 14, 2024 · The application of compressed sensing(GS) theory in ghost imaging reduces the sampling required for image reconstruction, thus improving the reconstruction efficiency. Due to its sparsity constraints on objects, the algorithm performs better on sparse and smooth images. Many studies have been carried out on sparse representation of …
WebTo eliminate ghost effects, a compressed sensing (CS) pseudo-vertical velocity method is proposed. Based on pressure data acquired using a conventional acquisition configuration, the vertical component of particle velocity at the same receiver positions is estimated using an expanded CS deghosting method. The pseudo-vertical velocity data, combined with … WebJun 8, 2024 · Abstract. Imaging through scattering media is challenging since the signal to noise ratio (SNR) of the reflection can be heavily reduced by scatterers. Single-pixel detectors (SPD) with high sensitivities offer compelling advantages for sensing such weak signals. In this paper, we focus on the use of ghost imaging to resolve 2D spatial ...
WebCompressive sensing (CS) is a recent trend in image/signal processing hav-ing the potential to signi–cantly extend the capabilities of digital imagers. The CS theory states …
WebWe describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, based on compressed sensing. Utilizing this algorithm, we experimentally demonstrate a … 49成WebAug 24, 2024 · 2.1 Compressive sensing ghost imaging theory. In computational ghost imaging, a bucket detector with no spatial resolution is used to collect the intensity values after diffraction through an object. A beam of parallel light is intensity modulated by a spatial light modulator (SLM) and illuminates onto an object to be imaged. ... 49文件WebJan 30, 2024 · In this paper, we propose a compression sensing ghost imaging algorithm to reduce the computation time with high image quality via compression sensing based … 49文件怎么打开WebSep 23, 2024 · Single-pixel imaging via compressed sensing can reconstruct high-quality images from a few linear random measurements of an object known a priori to be sparse or compressive, by using a point/bucket detector without spatial resolution. Nevertheless, random measurements still have blindness, limiting the sampling ratios and leading to a … 49才年収WebDec 15, 2016 · In order to achieve this goal, people have proposed many methods such as N-order ghost imaging [16], [17], compressive ghost imaging [18], and differential ghost imaging [19]. Although these ghost-imaging technologies can achieve better imaging quality than the conventional ghost imaging (CGI), there still is a factor that prevents … 49新台币WebDec 3, 2024 · Beyond applications in imaging, compressive sensing has provided benefits to various other imaging applications such as microscopy 16,24, including fluorescence and hyperspectral imaging 9, remote ... 49方WebBackground and objective: To evaluate the reliability of compressed-sensing (CS) real-time single-breath-hold cine imaging for quantification of right ventricular (RV) function and volumes in congenital heart disease (CHD) patients in comparison with the standard multi-breath-hold technique. Methods: Sixty-one consecutive CHD patients (mean age = 22.2 … 49捨50入