scholarly journals Devising information technology for determining the redundant information content of a digital image

2021 ◽  
Vol 6 (2 (114)) ◽  
pp. 59-70
Author(s):  
Pylyp Prystavka ◽  
Kseniia Dukhnovska ◽  
Oksana Kovtun ◽  
Olga Leshchenko ◽  
Olha Cholyshkina ◽  
...  
Keyword(s):  
Information Technology ◽  
Digital Image ◽  
Information Technologies ◽  
Visual Analysis ◽  
Digital Images ◽  
Image Data ◽  
Redundant Information ◽  
Air Surveillance ◽  
Frequency Area ◽  
Photo Image

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 analysis of images by a human and their automatic processing. A solution to the problem can be obtained through preprocessing, which will lead to an increase in the informativeness of digital image data at a general decrease in content. An experimental study of the dependence of image informativeness on the results of overlaying previous filters for processing digital images, depending on the values of parameters of methods, was carried out. It was established that the use of algorithms sliding window analysis can significantly increase the resolution of analysis in the time area while maintaining a fairly high ability in the frequency area. The introduced metrics can be used in problems of computer vision, machine and deep learning, in devising information technologies for image recognition. The prospect is the task of increasing the efficiency of processing the monitoring results by automating the processing of the received data in order to identify informative areas. This will reduce the time of visual data analysis. The introduced metrics can be used in the development of automated systems of air surveillance data recognition.

scholarly journals Design of image processing technique in digital enhancement application

2015 ◽  
Vol 1 (8) ◽  
pp. 340
Author(s):  
Bhubneshwar Sharma ◽  
Jyoti Dadwal
Keyword(s):  
Image Processing ◽  
Land Cover ◽  
Information Extraction ◽  
Digital Image ◽  
Visual Analysis ◽  
Satellite Image ◽  
Image Data ◽  
Image Processing Technique ◽  
Geometric Distortion ◽  
Satellite Image Processing

This paper describes the basic technological aspects of Digital Image Processing with special reference to satellite image processing. Basically, all satellite image-processing operations can be grouped into three categories: Image Rectification and Restoration, Enhancement and Information Extraction. The former deals with initial processing of raw image data to correct for geometric distortion, to calibrate the data radio metrically and to eliminate noise present in the data. The enhancement procedures are applied to image data in order to effectively display the data for subsequent visual interpretation. It involves techniques for increasing the visual distinction between features in a scene. The objective of the information extraction operations is to replace visual analysis of the image data with quantitative techniques for automating the identification of features in a scene. This involves the analysis of multispectral image data and the application of statistically based decision rules for determining the land cover identity of each pixel in an image. The intent of classification process is to categorize all pixels in a digital image into one of several land cover classes or themes. This classified data may be used to produce thematic maps of the land cover present in an image.

scholarly journals MENDETEKSI ORISINALITAS CITRA DIGITAL DENGAN MENERAPKAN METODE ADLER-32

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Jelita Lahagu
Keyword(s):  
Digital Image ◽  
Digital Images ◽  
Image Data ◽  
Original Image ◽  
Image Content ◽  
Human Eye ◽  
Object Based

The development of digital images is now very rapid, where the processing of image data, documents on digital images make images easily created or manipulated easily, even without leaving a visual imprint for users to manipulate an image. The ease in making and changing an image can damage the credibility of the originality / authenticity of the image in various aspects.Image is a combination of points, lines, shapes and colors to create an imitation of an object. Based on this, the pixel changes the original image so that it does not indicate the original image or the image has been manipulated. Thus the detection of the image can be known the authenticity of an image using the Adler-32 Algorithm.  Small changes of pixels do not make the image content detected by the human eye. This is explained in pixels like the long width in the image. The basis of this research is to detect the originality or authenticity of a digital image. Keywords : Image, Originality, Manipulation, Adler-32

scholarly journals ANALISIS DIGITAL FORENSIK REKAYASA IMAGE MENGGUNAKAN JPEGSNOOP DAN FORENSICALLY BETA

2019 ◽  
Vol 21 (1) ◽  
pp. 54-63
Author(s):  
Irwansyah Irwansyah ◽  
Helda Yudiastuti
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Digital Image ◽  
Digital Images ◽  
Image Manipulation ◽  
Analysis Tool ◽  
Image Splicing ◽  
Reliable Evidence

The development of information technology is not only beneficial for humans, but often also used for negative purposes. Crime by utilizing digital image technology is very easy to do using a computer, so it is not surprising if more and more cases of cybercrime occur. The spread of digital images on social media in the form of images or videos raises public anxiety that these images or videos cannot be considered reliable evidence, because both images and videos can be easily engineered. The purpose of this study is to analyze a digital image that has been manipulated or engineered using a particular software or program. Image manipulation techniques that will be used are: Image splicing, copy-move, and retouching images. While the analysis tool uses the ELA method introduced by Krawetz which is available online from the website (https://29a.ch/photo-forensics/#forensic-magnifier) ​​and Jpegsnoop software.

scholarly journals SYSTEMATIC LITERATURE REVIEW (SLR): DISEASE DETECTION IN MELONS USING DIGITAL IMAGE PROCESSING

2021 ◽  
Vol 3 (1) ◽  
pp. 75-80
Author(s):  
Frieyadie Frieyadie
Keyword(s):  
Neural Network ◽  
Literature Review ◽  
Mosaic Virus ◽  
Systematic Literature Review ◽  
Digital Image ◽  
Digital Images ◽  
Image Data ◽  
Mosaic Disease ◽  
Watermelon Mosaic Virus ◽  
Squash Leaf Curl Virus

Systematic Literature Review (SLR) is a technique used in this study which is used to study techniques for identifying leaf diseases using digital images as a basis for obtaining an understanding of disease identification techniques in melon leaves with digital images. Based on data from the Central Statistics Agency for the last 3 years from 2017-2019, melon production has increased considerably. Melon production data in 2017 was 92.43 tons, in 2018 was 118,708 and in 2019, overall melon production was 122,105 tons collected from 34 provinces in Indonesia. The problem that is often encountered in melon cultivation is the presence of plant pests that can harm and not maximize the yields of farmers. Several viruses cause mosaic disease that infects Cucurbitaceae plants, namely Cucumber aphid borne yellows virus (CABYV), Cucumber green mottle mosaic virus (CGMMV), Cucumber mosaic virus (CMV), Papaya ringspot virus (PRSV), Squash mosaic virus (SqMV), Squash leaf curl virus (SLCV), Watermelon mosaic virus (WMV). Information technology has now developed to be able to manage digital image data to identify problems faced by farmers. Several classification methods that can be used to answer problems include SVM, Artificial Neural Network, Decision Tree, Convolutional Neural Network.

scholarly journals Review on techniques and file formats of image compression

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Alaa Jabbar Qasim ◽  
Roshidi Din ◽  
Farah Qasim Ahmed Alyousuf
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Data ◽  
Critical Issue ◽  
Redundant Information ◽  
Compression Technique ◽  
File Formats ◽  
Traditional Format

This paper presents a review of the compression technique in digital image processing. As well as a brief description of the main technologies and traditional format that commonly used in image compression. It can be defined as image compression a set of techniques that are applied to the images to store or transfer them in an effective way. In addition, this paper presents formats that use to reduce redundant information in an image, unnecessary pixels and non-visual redundancy. The conclusion of this paper The results for this paper concludes that image compression is a critical issue in digital image processing because it allows us to store or transmit image data efficiently.

scholarly journals Review of Image Security approaches: Concepts, Issues, Challenges and Applications

2021 ◽  
Vol 23 (06) ◽  
pp. 1047-1054
Author(s):  
Shashikant S. Radke ◽  
◽  
Dhirendra S. Mishra ◽  
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Digital Images ◽  
Research Work ◽  
Image Data ◽  
Image Security ◽  
Encryption And Decryption ◽  
Encryption Algorithms ◽  
Encrypted Images ◽  
Digital Image Encryption

Currently, digital images are widely used in different applications to represent distinguishable contents. Also, diagnosing diseases using medical images became vital and crucial and if the data in these images are liable for unauthorized usage, this may lead to severe problems. The security of these data has become an urgent and serious problem and needs immediate attention. Traditional encryption and decryption algorithms are not sufficient to secure digital images. Especially, image encryption and decryption algorithms are needed. Securing image data with effective encryption approaches can be more useful for applications. This article aims to comparatively study the different digital image encryption algorithms. In the current Pandemic scenario of COVID-19, the variety of research work can be communicated through the encrypted images among researchers to avoid the leakage of information. These image encryption algorithms are having applications to secure image data and store and share them in the network environments.

Authentication of Digital Image using Exif Metadata and Decoding Properties

2018 ◽  
pp. 335-341 ◽  
Author(s):  
D. P. Gangwar ◽  
Anju Pathania
Keyword(s):  
Digital Image ◽  
Digital Images ◽  
Software Tools ◽  
Robust Analysis

This work presents a robust analysis of digital images to detect the modifications/ morphing/ editing signs by using the image’s exif metadata, thumbnail, camera traces, image markers, Huffman codec and Markers, Compression signatures etc. properties. The details of the whole methodology and findings are described in the present work. The main advantage of the methodology is that the whole analysis has been done by using software/tools which are easily available in open sources.

Pencarian File Gambar Berdasarkan Dominasi Warna

2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Vina Chovan Epifania ◽  
Eko Sediyono
Keyword(s):  
Digital Image ◽  
Retrieval System ◽  
Color Image ◽  
Color Space ◽  
Image Data ◽  
Image Search ◽  
Test Results ◽  
Application Form ◽  
Space Model ◽  
Image File

Abstract. Image File Searching Based on Color Domination. One characteristic of an image that can be used in image searching process is the composition of the colors. Color is a trait that is easily seen by man in the picture. The use of color as a searching parameter can provide a solution in an easier searching for images stored in computer memory. Color images have RGB values that can be computed and converted into HSL color space model. Use of HSL images model is very easy because it can be calculated using a percent, so that in each pixel of the image can be grouped and named, this can give a dominant values of the colors contained in one image. By obtaining these values, the image search can be done quickly just by using these values to a retrieval system image file. This article discusses the use of the HSL color space model to facilitate the searching for a digital image in the digital image data warehouse. From the test results of the application form, a searching is faster by using the colors specified by the user. Obstacles encountered were still searching with a choice of 15 basic colors available, with a limit of 33% dominance of the color image search was not found. This is due to the dominant color in each image has the most dominant value below 33%.   Keywords: RGB, HSL, image searching Abstrak. Salah satu ciri gambar yang dapat dipergunakan dalam proses pencarian gambar adalah komposisi warna. Warna adalah ciri yang mudah dilihat oleh manusia dalam citra gambar. Penggunaan warna sebagai parameter pencarian dapat memberikan solusi dalam memudahkan pencarian gambar yang tersimpan dalam memori komputer. Warna gambar memiliki nilai RGB yang dapat dihitung dan dikonversi ke dalam model HSL color space. Penggunaan model gambar HSL sangat mudah karena dapat dihitung dengan menggunakan persen, sehingga dalam setiap piksel gambar dapat dikelompokan dan diberi nama, hal ini dapat memberikan suatu nilai dominan dari warna yang terdapat dalam satu gambar. Dengan diperolehnya nilai tersebut, pencarian gambar dapat dilakukan dengan cepat hanya dengan menggunakan nilai tersebut pada sistem pencarian file gambar. Artikel ini membahas tentang penggunaan model HSL color space untuk mempermudah pencarian suatu gambar digital didalam gudang data gambar digital. Dari hasil uji aplikasi yang sudah dibuat, diperoleh pencarian yang lebih cepat dengan menggunakan pilihan warna yang ditentukan sendiri oleh pengguna. Kendala yang masih dijumpai adalah pencarian dengan pilihan 15 warna dasar yang tersedia, dengan batas dominasi warna 33% tidak ditemukan gambar yang dicari. Hal ini disebabkan warna dominan disetiap gambar kebanyakan memiliki nilai dominan di bawah 33%. Kata Kunci: RGB, HSL, pencarian gambar

PERBANDINGAN METODE MD4 DAN SHA 384 UNTUK MENDETEKSI ORISINALITAS CITRA DIGITAL

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Lemcia Hutajulu ◽  
Hery Sunandar ◽  
Imam Saputra
Keyword(s):  
Digital Image ◽  
Detrimental Effect ◽  
Digital Images ◽  
Computer Crime ◽  
The Other ◽  
Image Manipulation ◽  
The Internet ◽  
Secret Key

Cryptography is used to protect the contents of information from anyone except those who have the authority or secret key to open information that has been encoded. Along with the development of technology and computers, the increase in computer crime has also increased, especially in image manipulation. There are many ways that people use to manipulate images that have a detrimental effect on others. The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is genuine or fake. In this study, the authors used the MD4 and SHA-384 methods to detect the originality of digital images, by using this method an image of doubtful authenticity can be found out that the image is authentic or fake.Keywords: Originality, Image, MD4 and SHA-384

scholarly journals Digital Graphic Documentation and Architectural Heritage: Deformations in a 16th-Century Ceiling of the Pinelo Palace in Seville (Spain)

2021 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Juan Reinoso-Gordo ◽  
Antonio Gámiz-Gordo ◽  
Pedro Barrero-Ortega
Keyword(s):  
20Th Century ◽  
Digital Image ◽  
Digital Images ◽  
Laser Scanner ◽  
16Th Century ◽  
Southern Europe ◽  
Architectural Heritage ◽  
Digital Documentation ◽  
First Time

Suitable graphic documentation is essential to ascertain and conserve architectural heritage. For the first time, accurate digital images are provided of a 16th-century wooden ceiling, composed of geometric interlacing patterns, in the Pinelo Palace in Seville. Today, this ceiling suffers from significant deformation. Although there are many publications on the digital documentation of architectural heritage, no graphic studies on this type of deformed ceilings have been presented. This study starts by providing data on the palace history concerning the design of geometric interlacing patterns in carpentry according to the 1633 book by López de Arenas, and on the ceiling consolidation in the 20th century. Images were then obtained using two complementary procedures: from a 3D laser scanner, which offers metric data on deformations; and from photogrammetry, which facilitates the visualisation of details. In this way, this type of heritage is documented in an innovative graphic approach, which is essential for its conservation and/or restoration with scientific foundations and also to disseminate a reliable digital image of the most beautiful ceiling of this Renaissance palace in southern Europe.

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