Survey on Different Applications of Image Processing

International Journal of Advanced Research and Development, 2016

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. The objectives of this article are to define the meaning and scope of image processing, discuss the various steps and methodologies involved in a typical image processing, and applications of image processing tools and processes in the frontier areas of research.

Deleted Journal, 2024

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. When it comes to image and video processing, the input is an image of poor quality, and the output is an image and video of higher quality. Research on algorithms and applications of digital image and video processing is the primary purpose of this study, which aims to investigate these topics extensively. The methodology employed in this study is qualitative research technique. In accordance with the findings of this research, "Image Processing" refers to the process of analyzing images with the objective of determining the significance of objects and identifying them. Image analysts analyze data that has been remotely sensed and attempt to detect, identify, classify, measure, and evaluate the significance of physical and cultural objects, as well as their patterns and spatial relationships. One subcategory of signal processing is known as video processing, and it is distinguished by the fact that the signals that are input and output are video files or video streams. Technology such as television sets, videocassette recorders (VCRs), DVD players, and other devices all make use of video processing algorithms. The processing of images and videos is extremely useful in a variety of contexts.

This paper develops a base for the analysis and processing of the images. Image processing and analysis is an important aspect in the field of engineering and had attracted some of the brilliant minds from around the world in the past few years. The goal of this paper is to implement some of the fundamental techniques depicting the applications of image 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

International Journal of Intelligent Computing and Technology (IJICT), 2019

Image is one of the evident sources in image processing applications. Image processing will dramatically change the human computer interaction in future. A large number of image processing applications, tools and techniques helps to extract complex features of an image. While today image processing works beyond multidimensional and see what actually in the image. Several technologies playing on images in real time but image processing is the real core. This paper discusses the overview of an image processing applications, tools and techniques.

This paper deals with an image processing technique used for detecting the abnormalities of blood cells in less time. The proposed image processing technique also helps in counting and segregating the blood cells in different categories based on the form factor. Image processing techniques are widely used in the domain of medical sciences for detecting various diseases, infections, tumors, cell abnormalities, and various cancers. Detecting and curing a disease on time is very important in the field of medicine for protecting and saving human life. Mostly in case of high severity, diseases where the mortality rates are more, the waiting time of patients for their reports such as blood test, MRI is more. The time taken for generation of any of the test is from 2-8 days. In high risk diseases like Hepatitis B, it is recommended that the patient's waiting time should be as less as possible and the treatment should be started immediately. The current system used by the pathologists for identification of blood parameters is costly and the time involved in generation of the reports is also more sometimes leading to loss of patient's life. Also the pathological tests are expensive, which are sometimes not affordable by the patient. The proposed method gives 83% accuracy in counting the number of blood cells and 29% variation in observed values of detected abnormalities.

Digital image processing plays a vital role in the analysis and manipulation of sensed data. Digital image processing is always a concern field as it gives improved pictorial information and processing of image data for storage purpose, transmission and illustration for machine perception. Image processing is one of the most important areas of multimedia applications and these applications can be found nearly all over in the present world. Due to which, the number of people functioning with images is rapidly growing so that demand for image processing tools also grows. The image processing mostly deals with image acquisition, Image enhancement, image segmentation, feature extraction, image classification etc. In this paper we acquire an image by image acquisition method, enhance that image, filtering is used for denoising the image as well as for edge preservation of the digital image. This paper also gives the introduction about noises there types, image denoising and about the techniques used for noise removal. Basically, the thought behind the techniques is to fetch out detail that is hidden, or simply to bring to light certain features of interest in an image.

Computing in Science & Engineering, 2000

bu-researchincomputers.org

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. The objectives of this article are to define the meaning and scope of image processing, discuss the various steps and methodologies involved in a typical image processing, and applications of image processing tools and processes in the frontier areas of research.

Image processing is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within electronics engineering and computer science disciplines too. Image Processing is a technique to enhance raw images received from satellites, space probes, aircrafts, military reconnaissance flights or pictures taken in normal day-to-day life from normal cameras. The field is becoming powerful and popular because of technically powerful personal computers, large memories of available devices as well as graphic softwares and tools available with that devices and gadgets. Image acquisition, pre-processing, segmentation, representation, recognition and interpretation are the different basic steps through which image processing is carried out. [3][4].