scholarly journals DIGITAL COLOR REPRODUCTION AND DOCUMENTATION OF OIL PAINTING USING IMAGE PROCESSING

2021 ◽  
Vol XLVI-M-1-2021 ◽  
pp. 693-695
Author(s):  
H. R. Song ◽  
Y. H. Jo
Keyword(s):  
Image Processing ◽  
Color Temperature ◽  
Color Management ◽  
Color Reproduction ◽  
Oil Painting ◽  
Oil Paintings ◽  
Database Construction ◽  
Culture Heritage ◽  
Production Techniques ◽  
The Subject

Abstract. Digital photography is a method easily employed to capture images. Mobile devices such as smartphones and tablets as well as dedicated cameras are used to capture images. Furthermore, as hardware continues to improve, the resolution of images in 100 MP and 8K videos has recently been increased, and the quality of images enhanced through various types of image processing software. However, because the focus of photography is to record a moment activity, recording the orginal color of subject has been pushed back from priority. Digital photographs of cultural heritage are mainly captured for aesthetic appreciation and database construction. Those images for the purpose of the latter should record the exact color and shape of the subject. However, the theoretical approach of this is difficult and relatively complex procedures are able to create images that differ from the original color. Thus, it means falling in value that culture heritage data of important for color conservation. Various attempts have been made throughout the industry to capture the original colors of the subject accurately. The color management system (CMS) is a typical method of such. In this study, digital color reproduction and record studies were conducted on representative oil paintings of modern times in Korea. Accordingly, the light source’s color index and color temperature were measured. Furthermore, a color recording environment was established and digital images were acquired. Subsequently, it was able to record the original color through CMS-based image processing. It is believed that this study will enable one to understand the production techniques of works through the color record of oil paintings and help one to monitor conservation conditions such as discoloration.

Developing an Inkjet Printer I: RGB Image to CMY Ink Amounts - Image Processing and Color Management

2020 ◽  
Vol 2020 (15) ◽  
pp. 350-1-350-10
Author(s):  
Yin Wang ◽  
Baekdu Choi ◽  
Davi He ◽  
Zillion Lin ◽  
George Chiu ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Experimental Results ◽  
Color Management ◽  
Finger Nail ◽  
Inkjet Printer ◽  
Rgb Image ◽  
Novel Algorithm

In this paper, we will introduce a novel low-cost, small size, portable nail printer. The usage of this system is to print any desired pattern on a finger nail in just a few minutes. The detailed pre-processing procedures will be described in this paper. These include image processing to find the correct printing zone, and color management to match the patterns’ color. In each phase, a novel algorithm will be introduced to refine the result. The paper will state the mathematical principles behind each phase, and show the experimental results, which illustrate the algorithms’ capabilities to handle the task.

Color image design based on machine learning and SVM algorithm

2020 ◽  
pp. 1-12
Author(s):  
Li Bo
Keyword(s):  
Image Processing ◽  
Graphic Design ◽  
Management System ◽  
Computer Network ◽  
Color Image ◽  
Color Difference ◽  
Color Management ◽  
Development Mode ◽  
Operation Process ◽  
Svm Algorithm

In today’s society, graphic design, as a popular image processing technology, plays an increasingly important role in people’s lives. In the specific operation process of graphic design, It is no longer restricted to the traditional development mode, such as file format and other factors. With the development of computer network technology, people promote the development of graphic design by constructing color management system. At the same time, the construction of color management system can help people to change colors and define colors when they process image information and output pictures. In the process of printing pictures, in order to make the colors used in the design process clearly printed out and without color difference, there are still many problems to be considered. First, we need to consider the unexpected situation and the complexity of image processing. Based on the introduction of computer learning, this paper will discuss and study the development of graphic design by SVM theory.

scholarly journals Modified Crack Detection of Sewer Conduit with Low-Resolution Images

2021 ◽  
Vol 11 (5) ◽  
pp. 2263
Author(s):  
Byung Jik Son ◽  
Taejun Cho
Keyword(s):  
Image Processing ◽  
Crack Detection ◽  
Threshold Value ◽  
Optimal Threshold ◽  
Optimal Parameters ◽  
Low Resolution ◽  
The Subject ◽  
Low Resolution Images

Imaging devices of less than 300,000 pixels are mostly used for sewage conduit exploration due to the petty nature of the survey industry in Korea. Particularly, devices of less than 100,000 pixels are still widely used, and the environment for image processing is very dim. Since the sewage conduit images covered in this study have a very low resolution (240 × 320 = 76,800 pixels), it is very difficult to detect cracks. Because most of the resolutions of the sewer conduit images are very low in Korea, this problem of low resolution was selected as the subject of this study. Cracks were detected through a total of six steps of improving the crack in Step 2, finding the optimal threshold value in Step 3, and applying an algorithm to detect cracks in Step 5. Cracks were effectively detected by the optimal parameters in Steps 2 and 3 and the user algorithm in Step 5. Despite the very low resolution, the cracked images showed a 96.4% accuracy of detection, and the non-cracked images showed 94.5% accuracy. Moreover, the analysis was excellent in quality. It is believed that the findings of this study can be effectively used for crack detection with low-resolution images.

scholarly journals “Gunpowder painting” of Cai Guo-Qiang: Chinese artistic tradition in the era of postmodernism

2020 ◽  
pp. 44-50
Author(s):  
Marina Aleksandrovna Neglinskaya
Keyword(s):  
New York ◽  
Fine Arts ◽  
The United States ◽  
Oil Painting ◽  
Chinese Tradition ◽  
State Museum ◽  
International Audience ◽  
The Subject ◽  
Traditional Paradigm ◽  
Artistic Tradition

The subject of this research is the art of Cai Guo-Qiang (born in 1957) – the modern Chinese painter who lives and works in China and the United States (New York). The object of this research is the storyline fireworks of Cai and his innovative technique of “gunpowder painting”. The first works of the painter were canvasses in oil painting, and by 1980’s he invented a new “gunpowder” technique, which was first applied in combination with oil on the canvas, and since 1990’s – with ink on the paper, as a version of modern traditional painting guo-hua. His works evolved from social realism to a distinct variation of modern expressionism, as demonstrated the first in Russia retrospective exhibition of the works of Cai Guo-Qiang that took place in the Phuskin State Museum of Fine Arts (“October”, Moscow, 2017). Authors of the exhibition catalogue justifiably note the “cosmopolitan mission” of his art, but leave out of account the traditional context. The proposed methodology, which integrates art and culturological analysis, allows seeing in the works of this prominent modern painter the version of mass art that retains mental and reverse connection with the Chinese tradition. The scientific novelty of the article is defined by the following conclusions: the art of Cai Guo-Qiang is addressed to the international audience, but concords with the traditional paradigm due to Buddhist mentality deeply rooted in the painter’s consciousness. The traditional aspect is his proclivity for harmonization of social environment. This mass art that possesses formal and substantive novelty is associated with the modern international artistic market, as well as market version of “Chinese style” (Chinoiserie) of the XVIII century.

Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples

2009 ◽  
Vol 13 (2) ◽  
pp. 115-127 ◽  
Author(s):  
Shahryar Rahnamayan ◽  
◽  
Hamid R. Tizhoosh ◽  
Magdy M.A. Salama ◽  
Keyword(s):  
Image Processing ◽  
Expert Knowledge ◽  
Patent Application ◽  
Ground Truth ◽  
Image Filtering ◽  
Target Object ◽  
Object Extraction ◽  
Learning Approaches ◽  
Training Samples ◽  
The Subject

Knowledge- and sample-based learning approaches play a pivotal role in image processing. However, the acquisition and integration of expert knowledge (for the former) and providing a sufficiently large number of training samples (for the latter) are generally hard to perform and time-consuming tasks. Hence, learning image processing tasks from a few gold/ground-truth samples, prepared by the user, is highly desirable. This paper demonstrates how the combination of an optimizer (e.g., genetic algorithm) and image processing tools (e.g., parameterized morphology operations) can be used to generate image processing procedures for image filtering and object extraction. For this purpose, the approach receives the original and the user-prepared image (filtered image or image with extracted target object) as a gold sample which reflects the user's expectations. After carrying out the training or optimization phase, the optimal procedure is generated and ready to be applied to new images. The feasibility of our approach is investigated for two individual image processing categories, namely filtering and object extraction, by well-prepared synthetic images. The proposed architecture and the employed methodologies are explained in detail. Experimental results are provided as well.The subject matter in this work is covered by a US provisional patent application.

scholarly journals Potential contribution of periapical radiographic film image processing for forensic identification

2016 ◽  
Vol 64 (4) ◽  
pp. 484-489
Author(s):  
Gustavo Barbalho Guedes EMILIANO ◽  
Fernando Souza MARINHO ◽  
Rogério Nogueira de OLIVEIRA
Keyword(s):  
Image Processing ◽  
Computer Software ◽  
Forensic Identification ◽  
Color Temperature ◽  
Potential Contribution ◽  
X Rays ◽  
Image Brightness ◽  
Positive Identification ◽  
The Family ◽  
The Individual

ABSTRACT Periapical X-rays are the most common complementary tests in the dental clinic. The indication of image tests in forensic identification depends on the produced X-rays quality. The image processing of conventional radiographs can improve image quality. This study aimed to report the potential contribution of image processing from radiographic films by digitally edited periapical radiographs for case reporting of positive identification. The results of anthropological examinations and dental arches of the victim matched the information transferred by the family of the missing person. The antemortem and postmortem periapical radiographs were digitized on photo scanner (Hewlett-Packard Development Company, HP ScanJet G4050 Photo, United States) and images were processed in Corel PaintShop Pro X4 editing software (Corel Corporation, v14, Canada). The comparison of antemortem and postmortem periapical radiographs digital images allowed to determine 8 concordant points in the contour and delimit the maxillary sinus as well as periodontal and dental structures of the tooth 17. Identification of the individual was possible by digital editing of radiographs in computer software. Editing allowed adjusting image brightness, contrast and sharpness, color temperature and saturation of tooth-jaw structures. Such technological feature effectively contributed to positive identification performed by Forensic Dentistry.

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