Insights of the peroxychloroformyl radical ClC(O)OO microwave spectrum.

The exploration of Venus has received much attention in the past and will keep growing due to the starting of the NASA DAVINCI project. To explain the extremely low O : CO ratio observed in Venus' atmosphere, a chlorine-initiated CO oxidation catalytic cycle has been proposed. However, relevant studies on the key intermediates, such as the peroxychloroformyl radical (ClC(O)OO), are rare.

Fourier-transform microwave spectroscopy of the ClSS radical.

The ClSS radical is one of the members of the XSS, XSO and XOO (X = H, F, Cl) radicals. It was studied by Fujitake using millimeter- and sub-millimeter wave spectroscopy, where no hyperfine structure was resolved. As the last piece of this series of radicals, it is important to determine the fine and hyperfine constants of the ClSS radical precisely using FTMW spectroscopy.

Fourier-transform microwave spectroscopy of the ClSO radical.

Pure rotational transitions of the ClSO radical have been observed by Fourier-transform microwave spectroscopy. a-type and b-type transitions, for both Cl and Cl isotopologues, were detected, and the observed very complicated fine and hyperfine components were assigned well. The intensities of the observed spectra of the two isotopologues correspond to the ratio of the isotope abundances of Cl and Cl.

Fourier-transform microwave spectroscopy of the s--3-propenalyl (CHCHĊO) and 3-propenolyl (ĊHCHCO) radicals.

Pure rotational transitions of two conformers of the CHCHCO radical have been observed by Fourier-transform microwave spectroscopy, where one conformer is called the s--3-propenalyl radical and the other the 3-propenolyl radical. The observed two conformers have different electronic states. The former, the s--3-propenalyl radical, has the A' electronic state and can be written as CHCHĊO, where the unpaired electron resides mainly on the terminal CO carbon.

Gas-phase spectroscopic identification of the chlorovinyl radical.

Fourier transform microwave spectra for two isomers of the chlorine substituted vinyl radical have been observed in the 4-52 GHz frequency region. The observed radicals (A') have been generated using electric discharges of diluted dichloro derivatives of ethylene as molecular precursors. Fine and hyperfine components observed for each rotational transition are fully assigned in the present study to two isotopologues (Cl and Cl), and precise molecular constants are determined for both radicals.

Fine and hyperfine coupling constants of the -β-cyanovinyl radical, HCCHCN.

A Fourier-transform microwave spectrum of the -β-cyanovinyl radical is re-measured for the = 0 ladder of the a-type transitions up to 30 GHz and the 2-1 transition at 19.85 GHz. Four b-type transitions are also observed using a MW-MW double-resonance technique.

Compressed sensing MRI reconstruction from 3D multichannel data using GPUs.

Purpose: To accelerate iterative reconstructions of compressed sensing (CS) MRI from 3D multichannel data using graphics processing units (GPUs).

Methods: The sparsity of MRI signals and parallel array receivers can reduce the data acquisition requirements. However, iterative CS reconstructions from data acquired using an array system may take a significantly long time, especially for a large number of parallel channels.

Improving multi-channel compressed sensing MRI with reweighted l 1 minimization.

Integrating compressed sensing (CS) and parallel imaging (PI) with multi-channel receiver has proven to be an effective technology to speed up magnetic resonance imaging (MRI). In this paper, we propose a method that extends the reweighted l 1 minimization to the CS-MRI with multi-channel data. The method applies a reweighted l 1 minimization algorithm to reconstruct each channel image, and then generates the final image by a sum-of-squares method.

Improved compressed sensing MRI with multi-channel data using reweighted l(1) minimization.

Compressed sensing (CS) is an emerging technology to speed up magnetic resonance imaging (MRI). Since most clinical MRI scanners are equipped with multi-channel receiver systems, there has been a number of works to integrate CS with multi-channel systems. In this paper, we propose a method that extends the reweighted l(1) minimization to the CS MRI with multi-channel data.

Compressed sensing MRI with multichannel data using multicore processors.

Compressed sensing (CS) is a promising method to speed up MRI. Because most clinical MRI scanners are equipped with multichannel receive systems, integrating CS with multichannel systems may not only shorten the scan time but also provide improved image quality. However, significant computation time is required to perform CS reconstruction, whose complexity is scaled by the number of channels.

Compressed sensing MRI with multi-channel data using multi-core processors.

Compressed sensing (CS) has emerged as a promising method in the field of magnetic resonance imaging. Taking advantage of the signal sparsity in certain domain via L(1) minimization, CS requires only reduced k-space data to reconstruct an image. Since most clinical MRI scanners are equipped with multi-channel receiver systems, integrating CS with multi-channel systems may not only shorten the scan time but provide a better image quality.

Virtual restoration of ancient Chinese paintings using color contrast enhancement and lacuna texture synthesis.

This work presents a novel algorithm using color contrast enhancement and lacuna texture synthesis is proposed for the virtual restoration of ancient Chinese paintings. Color contrast enhancement based on saturation and de-saturation is performed in the u'v'Y color space, to change the saturation value in the chromaticity diagram, and adaptive histogram equalization then is adopted to adjust the luminance component. Additionally, this work presents a new patching method using the Markov Random Field (MRF) model of texture synthesis.