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Journal articles on the topic 'Digital image processing technology'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Ulkar Huseynova, Anakhanim Mutallimova, Ulkar Huseynova, Anakhanim Mutallimova. "DIGITAL IMAGE PROCESSING." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 36, no. 01 (2024): 179–88. http://dx.doi.org/10.36962/pahtei36012024-179.

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Digital processing and subsequent picture identification are one of the scientific fields that is now experiencing rapid development. Currently, a lot of technology is focused on developing systems that use graphical images as information, including receiving, processing, storing, and transmitting information. Two primary areas of use for digital image processing methods are of interest: 1. Increasing image quality to enhance human visual perception. 2. Image processing for use in autonomous machine vision systems, including storage, transmission, and presentation. The fundamentals of digital

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Peters, Klaus-Ruediger, and Eisaku Oho. "New digital image processing technology for FSEM microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 212–13. http://dx.doi.org/10.1017/s0424820100146904.

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Digital image acquisition and processing can provide many advantages over conventional analog image information handling, i.e., undisturbed access to the “raw data set”, quantitative analysis of the image information, and reduced costs and increased flexibility of image data handling. However, it may principally change microscopy by providing a new facility for instant exhaustive data presentation in acquired images. Detail imaging is one of the basic microscopic tasks but visual access to detail information is cumbersome and often left to post-session data analysis. A dedicated software/hardw

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O'Callaghan, John F. "Digital Image Processing—An Emerging Technology." Australian Journal of Forensic Sciences 18, no. 3-4 (1986): 111–14. http://dx.doi.org/10.1080/00450618609411200.

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Peng, Zan Bin. "Application of Digital Image Processing Technology in the Process of Ceramic Art Image." Applied Mechanics and Materials 687-691 (November 2014): 3738–42. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3738.

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With the improvement of computer hardware and software performance, digital multimedia technology has been applied to various fields. The visual effect of ceramic art image is affected mainly by the brightness, texture and color, in which the image defects will affect the visual effect of the ceramic product. This paper designs the digital processing system of a new ceramic art image processing, the system can repair defects in ceramic art image. In order to verify the validity and reliability of digital processing system, the lead-free perovskite structure BZT based ceramics is prepared in th

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Zhong, Xiaolei. "Design of Digital Image Processing System Based on Machine Vision." Academic Journal of Science and Technology 6, no. 3 (2023): 100–104. http://dx.doi.org/10.54097/ajst.v6i3.10391.

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Digital image processing technology is a technology that has developed rapidly in recent years[1]. A series of images are processed by computers to improve the visual effect of the image in order to achieve the desired presentation effect. Digital image processing technology has been continuously developed with the innovation of computers, and its application range has expanded from the original image field to traffic command, signal processing, medical treatment and other fields closely related to people's lives. With the support of many algorithms, the speed of digital image processing techn

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Shi, Chung Yang. "MATLAB-Based Digital Image Processing Technology Research." Applied Mechanics and Materials 687-691 (November 2014): 3769–72. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3769.

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This paper is an application of digital image processing technology based on MATLAB; this paper introduces the MATLAB image enhancement and image segmentation technology, in order to lay a foundation for the future research and application.

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Tang, Jinyu. "An Optimized Digital Image Processing Algorithm for Digital Oil Painting." Mobile Information Systems 2022 (May 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/4956839.

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Human civilization’s accomplishments have grown with the passage of time and the advancement of society. With the fast growth of computer networks and information technology, the conventional method of information transmission based on words cannot fulfill the demands of people in the current era. As a result, in this age of extensive information and image processing techniques, images as a means of information sharing are becoming increasingly popular. As we know, digital image processing knowledge has a far-reaching impact in the field of artistic creation, among which the creation of oil pa

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Zhang, Xi. "Application of Artificial Intelligence Recognition Technology in Digital Image Processing." Wireless Communications and Mobile Computing 2022 (January 27, 2022): 1–10. http://dx.doi.org/10.1155/2022/7442639.

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Synthetic Artificial Intelligence technique is a science and technique derived and developed on the basis of calculator application technology. Image recognition is a special image processing step that plays an important role. Only after image recognition can it enter the stage of picture analysis and understanding. With the development of various computer technologies, images have gradually become and have become an important source of information for people. The use of calculator artificial intelligence is becoming increasingly widespread; therefore, understanding its application and related

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Zhang, Jing, and Tao Zhang. "Focusing Algorithm of Automatic Control Microscope Based on Digital Image Processing." Journal of Sensors 2021 (September 24, 2021): 1–12. http://dx.doi.org/10.1155/2021/5643054.

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When performing digital image processing, the most critical technology that affects its use effect is the autofocus technology. With the advancement of science and the development of computer technology, autofocus technology has become more and more widely used in various fields. Autofocus technology is a key technology in robot vision and digital video systems. In order to allow digital image processing technology to better serve humans, it is necessary to further improve the focus evaluation function algorithm. This article focuses on the imaging principle of defocused images, using differen

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Li, Wen Hui. "Study on the Technology of Digital Image Processing." Applied Mechanics and Materials 687-691 (November 2014): 3555–58. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3555.

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The paper aims to study a design and technique of the image processing based on the architecture of embedded system. Aimed at the own characteristic of embedded system, designing a platform been endowed with more operating functions of embedded image processing with versatility. The author adopts the method of the embedded system design based on the basic functions and characteristic of image processing system, summarizing and comparing of the characteristic and new developments of the EOS for the ARM processor, and finally chooses the embedded Linux for the operating system of our platform, a

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Yang, Hong Peng. "Computer Digital Image Processing Application and Research." Advanced Materials Research 926-930 (May 2014): 3389–92. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3389.

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This paper Based on the analysis of the characteristics of image information and image information technology, analyzes some field demand for image information technology, analyzed the image application of news communication management, Analysis of domestic and foreign research present situation, proposed to increase the image signal, research ideas application depth and the breadth of color and its technology in the field , to accelerate the process of social normalization.

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12

Huang, Yitao. "Overview of Research Progress of Digital Image Processing Technology." Journal of Physics: Conference Series 2386, no. 1 (2022): 012034. http://dx.doi.org/10.1088/1742-6596/2386/1/012034.

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Abstract Digital image processing technology has gone through rapid development and is extensively applied in daily life and production, with the rapid development of modern information technology. It plays an inestimable role in remote sensing, medicine, recognition and other fields. This paper briefly introduces the basic concept of digital image processing, summarizes and analyses the commonly used digital image processing technology and the latest scientific research achievements from four aspects, and puts forward the future development direction of digital image processing. In the future

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Wang, Fei. "Color Enhancement in Art Works Based on Image Processing Technology of Contourlet Domain." Mobile Information Systems 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/7730157.

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With the rapid development of network technology and image processing technology, people can obtain data in a number of ways. Although the emergence of digital works has brought convenience to people’s lives, it has also brought many hidden dangers in the field of copyrights, for example, illegal copying, dissemination, and disclosure of digital art works. Sensitive information contained in digital art works can easily be stolen or illegally tampered with through the Internet, thereby destroying the legitimate rights and interests of copyright owners. Therefore, the emergence of digital waterm

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Bao, Kongjun, and Yaoxi Bao. "Image Processing Technology in Remote Monitoring and Intelligent Medical System." Journal of Healthcare Engineering 2021 (November 22, 2021): 1–6. http://dx.doi.org/10.1155/2021/6549891.

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In order to study the application of image processing technology in remote monitoring and intelligent medical systems, the principle and implementation method of a remote intelligent image monitoring system based on virtual local area network is proposed; this method analyzes the key technologies to be considered in the remote realization of image monitoring, adopts advanced digital image compression coding and decoding technology and digital image transmission technology, and applies intelligent image processing and recognition technology to display, adjust, and track images; it overcomes the

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Zhang, Zhen, and Xiang Xie. "Application of Image Processing and Identification Technology for Digital Archive Information Management." Traitement du Signal 39, no. 1 (2022): 145–52. http://dx.doi.org/10.18280/ts.390114.

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It is difficult to manually build a digital management system for archive information. This paper explores the application of image processing and identification technology for digital archive information management, trying to provide convenient and swift services to archive mangers and archive information requestors, and to strengthen the standardized management of archive information. Firstly, the authors summarized the difficulties in digitalizing paper archives, and explained how to correct the tilt of digital archives. Next, the adaptive histogram equalization was improved to realize high

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Zhang, Yu. "Research on Digital Image Technology in Oil Painting Image Processing." IOP Conference Series: Materials Science and Engineering 750 (March 24, 2020): 012096. http://dx.doi.org/10.1088/1757-899x/750/1/012096.

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17

Funahashi, Masao. "Image Processing Technology Required for Digital Image-The First Part-." Japanese Journal of Radiological Technology 63, no. 10 (2007): 1189–99. http://dx.doi.org/10.6009/jjrt.63.1189.

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Funahashi, Masao. "Image Processing Technology Required for Digital Image-The Last Part-." Japanese Journal of Radiological Technology 63, no. 11 (2007): 1293–302. http://dx.doi.org/10.6009/jjrt.63.1293.

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19

Du, Cheng, and Biao Leng. "Tunnel Face Image Segmentation Optimization." Applied Mechanics and Materials 397-400 (September 2013): 2148–51. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2148.

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With the development of Transportation Highway and railroad build, mining tunnel geological exploration in the road construction in the proportion of great. This paper presents a design of image processing software of Geological Engineering images for automatic analysis and processing. At present, the technology of image processing, most algorithms are based on the specific image information of specific analysis, and the face image is very complicated, different regions, and even the same construction sections in different areas of the face image may have very big difference. For the tunnel ex

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Zhou, Yu Shu, Geng Zhang, and Jia Li. "Application of Digital Image Processing Technology in Interferometer." International Journal of Online Engineering (iJOE) 9, S6 (2013): 65. http://dx.doi.org/10.3991/ijoe.v9is6.2846.

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21

Trinder, John C. "Digital image processing—The new technology for photogrammetry." Australian Surveyor 39, no. 4 (1994): 267–74. http://dx.doi.org/10.1080/00050326.1994.10441634.

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Trinder, John C. "Digital Image Processing–The New Technology for Photogrammetry." Australian Surveyor 39, no. 4 (1994): 267–74. http://dx.doi.org/10.1080/00050329.1994.10558460.

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23

Khor, Hui Liang, Siau-Chuin Liew, and Jasni Mohd Zain. "Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment." International Journal of Biomedical Imaging 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/9583727.

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With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professionals via internal network or public network (e.g., Internet), but it also exposes the transmitted digital medical images to the security threats, such as images tampering or inserting false data in the images, which may cause an inaccurate diagnosis and treatment. Medical image distortion is not to be tolerated for diagnosis purposes; thus a digital watermarking on medical image is introduced. So far most of the watermarking research has been done on single fram

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Li, Su Ying. "Round Descriptor Based on SIFT Operator Copy and Paste Forensics." Advanced Materials Research 912-914 (April 2014): 1379–82. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1379.

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Powerful digital cameras and image processing software, so that the image of tampering counterfeit technology is developing rapidly, the role of digital images to verify the authenticity and the beginning of forensics technology will become more important. For the most common digital image tampering copy and paste operation, this paper presents a round-based SIFT descriptor operator forensic image copy and paste algorithm that extracts the image to be detected circular feature vector descriptor, and using feature vectors copy and paste the image matching to detect and locate the area. Experime

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25

Liu, Chenxi. "A Review of Digital Image Processing Techniques and Future Prospects." International Journal of Computer Science and Information Technology 4, no. 3 (2024): 223–33. https://doi.org/10.62051/ijcsit.v4n3.22.

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With the rapid development of computer vision and image processing technology, digital image processing has become a hot spot of computer science research. Based on the research background of digital image processing technology, this paper comprehensively combs through the relevant theories, core technologies and industry applications. By analysing the academic papers and technical reports in recent years, the research results and development trends in the field of image processing are summarized. The steps of digital image processing such as preprocessing, enhancement, recovery, segmentation,

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Shih, Jhan-Rong. "Application of Digital Image Processing Technology in Textile and Garment Field." Security and Communication Networks 2022 (August 17, 2022): 1–9. http://dx.doi.org/10.1155/2022/7971811.

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In order to study the shortcomings of traditional manual inspection of clothing, improve the quality of clothing. A method of applying digital image processing technology in the field of textile and clothing is proposed. This method combines computer digital image technology to propose an image processing and measurement process technology based on the Labview platform. Through the effective combination of neural networks and support vector machines, methods such as deep learning can better realize the recognition and classification of clothing images. According to a random interview survey of

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Divya M, Rangaswamy MG, and Raghavendra MY. "Exploration of image processing in various domains: A review." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 3169–77. https://doi.org/10.30574/wjarr.2024.24.3.4038.

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Interest in digital image processing methods stems from two principal application areas: improvement of pictorial information for human interpretation; and processing of image data for storage, transmission, and representation for autonomous machine perception. Computer digital image technology is a very important branch of the computer application discipline, and its application areas include measurement, computer-aided design, physics, three-dimensional simulation and other industries. Moreover, with the improvement of computer hardware performance, image processing algorithms have improved

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Divya, M., MG Rangaswamy, and MY Raghavendra. "Exploration of image processing in various domains: A review." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 3169–77. https://doi.org/10.5281/zenodo.15259838.

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Interest in digital image processing methods stems from two principal application areas: improvement of pictorial information for human interpretation; and processing of image data for storage, transmission, and representation for autonomous machine perception.  Computer digital image technology is a very important branch of the computer application discipline, and its application areas include measurement, computer-aided design, physics, three-dimensional simulation and other industries. Moreover, with the improvement of computer hardware performance, image processing algorithms have imp

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Parag, Chaudhary, Rathod Lokesh, Gupta Prateek, and Janumala Tabitha. "The Scope of Digital Image Processing and its Applications in Various Fields." Journal of Optoelectronics and Communication 6, no. 1 (2024): 13–18. https://doi.org/10.5281/zenodo.10648767.

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<em>Measurement, computer-aided design, physics, three-dimensional simulation, and other sectors are among the application fields of computer digital image technology, a very significant subfield of computer application. Furthermore, image processing algorithms enhanced the use of digital image processing technology as computer hardware performance increased. The present state of digital image processing technology and its applications are the main topics of this essay.</em> <strong><em> </em></strong>

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Lin, C.-S. "Dichromated gelatin hologram using digital image processing technology to optimize processing." Imaging Science Journal 48, no. 2 (2000): 93–106. http://dx.doi.org/10.1080/13682199.2000.11784350.

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Peng, Sijia, and Guojing Yu. "Image Stitching Technology in 3D Film Production Based on Digital Image Processing." International Transactions on Electrical Energy Systems 2022 (August 31, 2022): 1–13. http://dx.doi.org/10.1155/2022/5688273.

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Image stitching in 3D film production synchronizes multiple independent frame images as a single high-resolution output. The stitching process is common for displaying a large coverage or shot in a single frame containing distinct images. For improving the realistic accuracy of 3D film images, this manuscript introduces an Itinerant Pixel-Matching-based Stitching Process (IPMSP). The proposed stitching process relies on cross-sectional pixels identified in merging two or more images. Based on the linear cumulative distribution in augmenting images, the homogeneity feature is identified. If the

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Zhang, Ya Dong, Shun Min Zhu, and Li Li. "Development of Digital Image Processing System Based on MATLAB." Advanced Materials Research 971-973 (June 2014): 1594–97. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1594.

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Digital image processing is a technology that using computer to process images through a certain algorithm. It has been widely used in many areas of engineering and military. The system which is fit for the researching and teaching plays a very important role in the fields of scientific research and education. This paper discusses the development of image processing system and image processing technique in MATLAB. In practice, the operation of the system is convenient its interface is beautiful and its vision is very good.

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K P, Rejil. "Role Of Digital Image Processing In Education And Medical Field." IOSR Journal of Computer Engineering 26, no. 5 (2024): 01–08. http://dx.doi.org/10.9790/0661-2605030108.

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Digital image processing is a technique that uses computer algorithms to analyze images and transform images into better ones.It is an important branch of Telecommunication engineering that deals with the improvisation of reliability and accuracy of the digital communication by employing multiple techniques. Image processing involves many processes such as taking images, preprocessing, image enhancement, transformation and analysis. Variations in pixel values are one of the major challenges faced by image processing. Digital Signal Processing is at the core of virtually all of today's informat

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Hu, Xiao Lang. "Study on Terminal Identification Enhancement Method of Track and Field Using Digital X-Ray Photography Images." Applied Mechanics and Materials 602-605 (August 2014): 2084–88. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2084.

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Due to the development of image segmentation and reconstruction technology, it provides a larger space for development of the image enhancement technology. Under the promoting of the image processing calculation, the capture and recognition function of digital X-ray photography technology are stronger, and the image processing precision is higher. Based on the variation principle, this paper uses the function approximation to improve the X-ray photography image processing technology, and obtains the new boundary value reconstruction condition of X-ray photography. In order to verify the effect

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Huang, Jiang Tao, Jian Peng, and Feng Bo Li. "Based on Digital Image Processing Ore Appraisal Method Research." Applied Mechanics and Materials 385-386 (August 2013): 1500–1504. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1500.

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with high speed development of the digital image processing technology, and computer image processing technology used in scientific research more and more widely. Mineral, resources and environment, and other fields, image processing technology also has a wide range of applications. This paper is the application of digital image processing techniques to realize to study all the features of ore and automatically recognize ore , pattern recognition method applied to mineral recognition and testing field, so as to achieve the goal of mineral appraisal.

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Farah, Dhib Tatar, and Machhout Mohsen. "PREPROCESSING ALGORITHM FOR DIGITAL FINGERPRINT IMAGE RECOGNITION." International Journal of Computational Science and Information Technology (IJCSITY) 6, August (2018): 1–12. https://doi.org/10.5281/zenodo.3446216.

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<strong>ABSTRACT </strong> Biometrics is one of the most used technologies in the field of security due to its reliability and performance. It is based on several physical human characteristics but the most used technology is the fingerprint recognition, and since we must carry out an image processing to be able to exploit the data in each fingerprint we propose in this article an image preprocessing procedure in order to improve its quality before extracting the necessary information for the comparison phase. <strong>KEYWORDS </strong> Fingerprint Recognition Algorithm; Image processing; Imag

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Deshmukh, Anmol Raju. "Panoramic View Creation using Image Processing." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 571–75. http://dx.doi.org/10.22214/ijraset.2023.53555.

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Abstract: The method of integrating many photographs with overlapping fields of view to create a segmented panorama or highresolution image is known as image stitching or photo stitching. The term "stitching" refers to the process of utilising a computer to combine small images into a larger one, ideally without leaving any trace that it was produced artificially. Among the first and most popular in computer vision are algorithms for aligning images and creating seamless photomosaics. The high quality photomosaics utilised to construct today's digital maps and satellite images are made using i

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Chen, De Yu, Yue Qin Hang, Xiao Cheng Su, and Xue Fang Zhu. "Application of Digital Image Processing and Recognition Technology on Screen Printing." Advanced Materials Research 429 (January 2012): 116–20. http://dx.doi.org/10.4028/www.scientific.net/amr.429.116.

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The digital image processing and recognition technology is applied to the detection of the print quality of screen printing, which is designed to implement the application system of some functions in screen printing, such as the acquisition of multiple printing images, the feature extraction and the matching to the quality control processing. In the RG Chromaticity space, the template matching method is used to design the relevant algorithms and realize fast real-time detection of some problems related to the image dislocation, leakage India, infiltration excess and uneven quality color. Havin

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Pylyp, Prystavka, Dukhnovska Kseniia, Kovtun Oksana, Leshchenko Olga, Cholyshkina Olha, and Zhultynska Anhelina. "Devising information technology for determining the redundant information content of a digital image." Eastern-European Journal of Enterprise Technologies 6, no. 2 (114) (2021): 59–70. https://doi.org/10.15587/1729-4061.2021.248698.

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The information technology that implements evaluation of redundant information using the methods of preprocessing and segmentation of digital images has been devised. The metrics for estimating redundant information containing a photo image using the approach based on texture variability were proposed. Using the example of aerial photography data, practical testing and research into the proposed assessment were carried out. Digital images, formed by various optoelectronic facilities, are distorted under the influence of obstacles of various nature. These obstacles complicate both the visual an

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Ye, Zi, Xiao Ping Jiang, Zhen Chong Wang, and Wei Xiao. "Prospect of Particle Detection Technology Based on Digital Image Processing." Applied Mechanics and Materials 143-144 (December 2011): 591–94. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.591.

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Digital image technology is the most effective and important way to communicate and acquire information. Image can be used as a mean or carrier of detecting and transmitting information. The accession of image processing technology solves many defects such as time-consuming, complex operation, low precision which existed in manual statistics and analysis on particles. The basic physical properties of particles include pore, shape, size and other parameters. Computer can be used for a variety of image processing, both to speed up the analysis processing and highlight the information people need

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Yu, Guo Qing, Chen Meng Sui, and Bing Dong Sui. "Applied-Information Technology with Method of Digital Image Noise Processing." Advanced Materials Research 951 (May 2014): 253–56. http://dx.doi.org/10.4028/www.scientific.net/amr.951.253.

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Digital image processing is a kind of technology which employs a certain algorithm to realize image processing through computer algorithm. The powerful capacity of computing and graphics displaying function of Matlab makes image processing becomes more simple and intuitive. This paper introduces the basic knowledge of dealing with noise in digital image, expounds the neighborhood average method, median filtering in detail, and low pass filtering and other typical of eliminating noise method , and at the same time analyzes and compares the characteristics of several typical methods by use of th

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Jenkins, David R. "Differential contrast enhancement of digital image information by PC-based massively parallel processing." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 516–17. http://dx.doi.org/10.1017/s0424820100170311.

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Digital images represent two-dimensional intensity maps which characterize the spacial x/y distribution of contrast information. Often, small detail contrasts are visaully unrecognizable due to the prevalence of large contrast components which, inversely proportional to their extent, compress the intensity range of the detail contrasts. A new “pixel-accurate intensity processing” (PAIP) technology provides unrestricted access to and display of all detail information contained in digital images independent of content, size and depth (8-16 bit). It offers an exciting new way for objective and ex

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Bera, Snehasish, Koushik Pal, Saynee Paul, et al. "Accountabilities of Digital Image Processing in Biomedical Imaging." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 611–14. http://dx.doi.org/10.22214/ijraset.2023.48624.

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Abstract: once a time, when we got any injuries we want to know where the particular cells or bones are damaged or also where any kind disease that takes place. Now, from that century, we leant a lot about it that’s why the next generation is trying to instead a global step through the visibility of that particular image of cells, bones or any types of diseases. So, in that way the image is processed is known as Image Processing. I want to talk about the biomedical field where the image processing majorly takes place where we want to know about that how x-rays or digital x-rays can work throug

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Tan, Jie. "Image processing technology based on OMP reconstruction optimization algorithm." Journal of Computational Methods in Sciences and Engineering 24, no. 3 (2024): 1741–53. http://dx.doi.org/10.3233/jcm-247284.

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With the widespread application of digital images, image processing technology plays an important role in fields such as computer vision and image analysis. Based on the orthogonal matching pursuit algorithm, an image processing method is proposed. In the process, sparse representation and reconstruction algorithm are used for image compressed sensing to complete image sampling operation. Afterwards, the theory of overcomplete sparse representation is introduced to optimize sparse representation, and an overcomplete dictionary is used to remove Gaussian noise, achieving the goal of image proce

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Kavitha S Patil,. "Digital Image and Video Processing: Algorithms and Applications." Journal of Electrical Systems 20, no. 3s (2024): 1390–96. http://dx.doi.org/10.52783/jes.1516.

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Many of the techniques that are used in digital image and video processing were developed in the 1960s at Bell Laboratories. These techniques have applications in a variety of fields, including medical imaging, videophone, character recognition, satellite imagery, and wire-photo standards conversion. Additional applications include enhancement of photographs or vidoes. The early stages of image and video processing were developed with the intention of enhancing the overall quality of the image or video. For the purpose of enhancing the visual effect of humans, it is intended for human beings.

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Cai, HongJuan, and Hengqiang Gao. "Mechanical fault diagnosis based on digital image processing technology." International Journal of Information and Communication Technology 15, no. 1 (2019): 68. http://dx.doi.org/10.1504/ijict.2019.10023623.

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Gao, Hengqiang, and HongJuan Cai. "Mechanical fault diagnosis based on digital image processing technology." International Journal of Information and Communication Technology 15, no. 1 (2019): 68. http://dx.doi.org/10.1504/ijict.2019.102055.

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Yamada, Masahiko. "Progress of General Digital Radiography and Image Processing Technology." Japanese Journal of Radiological Technology 72, no. 4 (2016): 344–51. http://dx.doi.org/10.6009/jjrt.2016_jsrt_72.4.344.

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Xu, Min, and Ya Fen Li. "Corneal Image Analysis and Information Management System Based on Slit Lamp." Applied Mechanics and Materials 599-601 (August 2014): 1842–47. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1842.

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With the development of digital image processing technology and computer technology, the capturing and processing of anterior segment image by computer to acquire feature information is possible. This paper captures the anterior eye segment by slit lamp, and then uses image processing technology to preprocess, extract the edge and fit the edge of the captured image. At the same time the paper establishes the information management system based on SSH framework, which can register patient information, manage patient files and images, and finally realize the paperless medical procedure.

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Prystavka, Pylyp, Kseniia Dukhnovska, Oksana Kovtun, Olga Leshchenko, Olha Cholyshkina, and Anhelina Zhultynska. "Devising information technology for determining the redundant information content of a digital image." Eastern-European Journal of Enterprise Technologies 6, no. 2 (114) (2021): 59–70. http://dx.doi.org/10.15587/1729-4061.2021.248698.

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The information technology that implements evaluation of redundant information using the methods of preprocessing and segmentation of digital images has been devised. The metrics for estimating redundant information containing a photo image using the approach based on texture variability were proposed. Using the example of aerial photography data, practical testing and research into the proposed assessment were carried out. Digital images, formed by various optoelectronic facilities, are distorted under the influence of obstacles of various nature. These obstacles complicate both the visual an

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