Isolation, purification and identification of anthocyanins and flavonols were carried out on flowers of Ranunculus cultivars. Three anthocyanins and 11 flavonols were characterized by chemical and ...spectroscopic techniques. The anthocyanins were identified as cyanidin 3-O-sambubioside, cyanidin 3-O-(6''-malonylsambubioside) and delphinidin 3-O-(6''-malonylsambubioside). The flavonols were identified as 3-O-glucosides and 3-O-sophorosides of kaempferol and quercetin, and their acylated compounds with malonic acid. Flower colors were divided into six groups, Red-Purple, White, Yellow-Orange, Orange, Red, and Violet groups using the Royal Horticultural Society Colour Chart. The absorption maxima of buffer solutions containing anthocyanins and flavonols isolated in this study were measured to understand the effect of intermolecular copigmentation between these compounds on flower color. The results showed that by addition of 3-O-(6''-malonylglucoside) of kaempferol or quercetin, the absorption maximum of cyanidin 3-O-(6''-malonylsambubioside) or delphinidin 3-O-(6''-malonylsambubioside) shifted bathochromically and exhibited a closer absorption maximum to fresh flower petals than anthocyanin alone. This indicates that the intermolecular copigment effect between anthocyanins and flavonols is responsible for the flower color expression in Ranunculus cultivars.
Abstract
With the improvement of my country’s science and technology, the development of Internet technology has gradually occupied the core position of the times, and combined with many fields, has ...produced one after another new technologies and development and operation models. Relying on computer technology, this paper integrates networked teaching and traditional teaching in a hybrid and organic way, and gives full play to its advantages. On the basis of analyzing the importance of computer technology to oil painting education, it analyzes the important factors of oil painting teaching. Practice has proved that this method can effectively guide students to think positively and form the enthusiasm of independent learning.
Isolation, purification and identification of anthocyanins and flavonols were carried out on flowers of Ranunculus cultivars. Three anthocyanins and 11 flavonols were characterized by chemical and ...spectroscopic techniques. The anthocyanins were identified as cyanidin 3-O-sambubioside, cyanidin 3-O-(6''-malonylsambubioside) and delphinidin 3-O-(6''-malonylsambubioside). The flavonols were identified as 3-O-glucosides and 3-O-sophorosides of kaempferol and quercetin, and their acylated compounds with malonic acid. Flower colors were divided into six groups, Red-Purple, White, Yellow-Orange, Orange, Red, and Violet groups using the Royal Horticultural Society Colour Chart. The absorption maxima of buffer solutions containing anthocyanins and flavonols isolated in this study were measured to understand the effect of intermolecular copigmentation between these compounds on flower color. The results showed that by addition of 3-O-(6''-malonylglucoside) of kaempferol or quercetin, the absorption maximum of cyanidin 3-O-(6''-malonylsambubioside) or delphinidin 3-O-(6''-malonylsambubioside) shifted bathochromically and exhibited a closer absorption maximum to fresh flower petals than anthocyanin alone. This indicates that the intermolecular copigment effect between anthocyanins and flavonols is responsible for the flower color expression in Ranunculus cultivars.
Safflower was one of the most prominent red dyes used on silk during the Qing Dynasty. Studies of traditional natural dyes and dyeing have always been an integral part of ancient textile research. A ...combination of literature analysis, dye identification, and machine learning regression analysis was used to reconstruct safflower dyeing and colors in the Qing Dynasty. Based on the dyeing archives collected by the Weaving and Dyeing Bureau, this study establishes a color prediction GPR model for safflower dyeing. Three types of red color dyes on a Qianlong Kesi robe in the Beijing Art Museum were analyzed by HPLC-DAD-MS. A correction set cyclic training method was developed to reconstruct the color and dyeing recipe on textile relics with high predictive efficiency. Furthermore, the effect of each dyeing parameter on the color was analyzed. A color gamut and dyeing recipe database were constructed for Pure Red, Peach Red, Water Red, Red, and Fish Red recorded in the dyeing archives, providing a reference for research on traditional dyeing technology.
•The safflower dyeing prediction model was constructed based on the dyeing archives of the Weaving and Dyeing Bureau.•HPLC-DAD-MS was used to analyze the red dyes on the Kesi robes in the Qianlong period of the Qing Dynasty.•An innovative method for color reconstruction of textile relics was constructed.•The database of traditional safflower dyeing colors in the Qing Dynasty was constructed.
This work demonstrates a novel, state-of-the-art method to reconstruct colored images via the dynamic vision sensor (DVS). The DVS is an image sensor that indicates only a binary change in ...brightness, with no information about the captured wavelength (color) or intensity level. However, the reconstruction of the scene’s color could be essential for many tasks in computer vision and DVS. We present a novel method for reconstructing a full spatial resolution, colored image utilizing the DVS and an active colored light source. We analyze the DVS response and present two reconstruction algorithms: linear-based and convolutional-neural-network-based. Our two presented methods reconstruct the colored image with high quality, and they do not suffer from any spatial resolution degradation as other methods. In addition, we demonstrate the robustness of our algorithm to changes in environmental conditions, such as illumination and distance. Finally, compared with previous works, we show how we reach the state-of-the-art results. We share our code on GitHub.
Conventional color image sensors employing absorptive color filters exhibit low overall light transmission, resulting in limited signal levels per sensor pixel. This issue is becoming critical ...because the amount of light to detect at each pixel is decreasing as pixel size decreases. Here, we present a design for transparent, pixel-scale color splitters based on dielectric metasurfaces and show the advantages of using them in color image sensors instead of filters. We demonstrate that the image sensor configurations with the color splitters enhance the amount of detected light by a factor of ∼3.57 compared with a conventional color filter scheme, while preserving the resolution and color image quality.
Here, we propose a novel method to estimate the parameters of non-planar objects with thin film surfaces. Being able to estimate the optical parameters of objects with thin film surfaces has a wide ...range of applications from industrial inspections to biological and archaeology research. However, there are many challenging issues that need to be overcome to model such parameters. The appearance of thin film objects is highly dependent on the surface orientation and optical parameters such as the refractive index and film thickness. First, we therefore analyzed the optical parameters of non-planar objects with thin film surfaces. Next, we proposed and implemented an analysis procedure and demonstrated its effectiveness for studying planar objects with thin film surfaces. Finally, we developed a device to acquire the shapes and optical parameters of objects with thin film surfaces using a camera and demonstrated the effectiveness of our method experimentally. Then, we surveyed the errors caused by the light source. We discussed the difference between the theoretically obtained parameters and experimental data obtained using a hyper spectral camera.
With the development of neural networks, research on adversarial attacks has become a hot topic. However, most existing adversarial attacks target natural images, and very few approaches focus on ...attacking the style features of artistic images. In this paper, we propose a novel two-stage artistic image adversarial attack network that focuses on artistic style tampering. In the first stage, we design a style attack network to inject imperceptible style changes to images by adding style perturbations, which will induce misclassification by the artistic style classifier. To solve the issue of the color change in style attack images, we propose a color reconstruction network in the second stage to recombine the color features of the style attack images, and the final results are more similar to the color of the source images. The proposed method realizes the adversarial attacks in the artistic image domain. Extensive experiments on artistic paintings well demonstrate the effectiveness of attack of our approach.
Demosaicking is the way toward reproducing a full hued picture from a deficient shaded picture. The single sensor doesn't catch all hues for a single pixel. To address this, a color filter array ...(CFA) is utilized to get a hued picture from a single sensor. The created picture from CFA is called a mosaic picture. In this research, we utilize specialized networks to remove the noise from Bayer images. The mosaic picture is adulterated by commotion presented by a sensor or other equipment during catching. Demosaicking on the boisterous mosaic picture makes antiquities, for example, moiré and zippering. Some solutions have been proposed for denoising mosaic images but they are handcrafted solutions. In this paper, a solution is proposed to the first denoise and then demosaic the image using machine learning. The mosaic image is denoised using CNN which is then demosaicked using the residual learning strategy of a single specialized network. One of the networks is DHTN (deep high textured network) which is trained on textured images and the second one is DSTN (deep smooth textured network) which is trained on smooth images. Preliminary results show that the proposed approach generates better results and higher quality images than traditional approaches.
We present a system combining optical coherence tomography (OCT) and multispectral imaging (MSI) for coregistered structural imaging and surface color imaging. We first describe and numerically ...validate an optimization model to guide the selection of the MSI wavelengths and their relative intensities. We then demonstrate the integration of this model into an all-fiber bench-top system. We implement frequency-domain multiplexing for the MSI to enable concurrent acquisition of both OCT and MSI at OCT acquisition rates. Such a system could be implemented in endoscopic practices to provide multimodal, high-resolution imaging of deep organ structures that are currently inaccessible to standard video endoscopes.
PDF
