Modern methods of increasing the information capacity of digital images (original) (raw)

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

Eastern-European Journal of Enterprise Technologies, 2021

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 val...

Advances in Digital Image Processing and Information Technology

Communications in Computer and Information Science, 2011

The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Introduction to the special section on image and video processing

Computers & Electrical Engineering, 2015

Introduction to the special section on Image and Video Processing Image and video processing research has undergone enormous changes and development in recent decades. This is due to the rapid advancements of visual technologies and their use in portable devices, medical imaging, and video streaming, for applications in photography, social media, entertainment, security and health care, among others. As images and video have become main means of communication and verification, the creation, transfer, and storage of high-quality images and videos require special attention. The necessity for retrieving relevant information from images and video, and the technological advancements have led fundamental research looking for novel processing techniques in image enhancement for reconstruction, restoration, de-noising, improvement of resolution and reduction of artifacts and noise; image segmentation for extracting an object from a background; face recognition for identification and classification; pattern recognition for monitoring and diagnosis; security and compression for improving the protection of information, optimizing its storage, and maintaining its quality; image classification for object recognition, description, and matching of feature points; image annotation for interpretation of contents through words, keywords or comments; and image modeling to detect depth information of a target object. In particular, the increasing usage of Internet, social networks and wireless communication technologies with high quality image streaming have enormous needs for image and video processing. These needs have proven the importance of performing research in this area for continuous innovation. Quick facts about this special issue This is the eighth special section on image and video processing; the previous seven were published in

History of Image Digital Formats Using in Information Technology

QALAAI ZANIST JOURNAL, 2021

An important type of digital media is images, and in this article, we are going to review how images are represented and how they can be manipulated with simple mathematics. This is useful general knowledge for anyone who has a digital camera and a computer, but for many scientists, it is an essential tool. Printed publications use different formats to specify the properties of the information published; Thus, the uses that each type of each publication have been defined. Also, the formats of the digital images have been developed for use with a certain type of images and this article presents the benefits and uses of the different digital image formats.

Digital Image Analysis and Enhancement

2004

Abstract. This note reports the main research results of the Imaging and Graphic Research Group in the field of image analysis and enhancement. Particular emphasis, reporting also some major details, is given to methods and techniques devoted to unsupervised image analysis and classification, automatic text discrimination, adaptive interpolation and zooming, color and contrast enhancement.

Graphics, Vision and Image Processing Journal, ISSN 1687-398X, Volume 11, Issue 2, Delaware, USA

This issue (DOI: 10.13140/RG.2.1.4132.3284) includes the following articles; P1151048379, P.Thangavel and, S.Gopinathan, "Image Enhancement System Using Wavelet Transform and a Non-Linear Piecewise Filter" P1151034224, A. Benkuider, A. Aarab, "An Improved Watermarking Scheme Images based on the FABEMD" P1151041315, H. B.Kekre and Dhirendra Mishra, "Full DCT Sectorization for Feature vector Generation in CBIR" P1151047366, Sanaa Fekry Abed Elsadek and Hesham Forouk Ali and Ibrahim E. Ziedan, "High Precision Face Detection and Recognition based on Fusion of Discernment Techniques" P1151106495, D. Chattopadhyay and M. K. Mandal and D. Nandi, "Robust Chaotic Image Encryption based on Perturbation Technique"

Image Formation & Display Digital Image Structure

Images are a description of how a parameter varies over a surface. For example, standard visual images result from light intensity variations across a two-dimensional plane. However, light is not the only parameter used in scientific imaging. For example, an image can be formed of the temperature of an integrated circuit, blood velocity in a patient's artery, x-ray emission from a distant galaxy, ground motion during an earthquake, etc. These exotic images are usually converted into conventional pictures (i.e., light images), so that they can be evaluated by the human eye. This first chapter on image processing describes how digital images are formed and presented to human observers.