Review Paper On Image Processing

A systematic study on importance of image processing and its applications to the field of computer vision is carried out in this paper. An image is defined as an array, or a matrix, of square pixels (elements of picture) arranged in rows and columns. Image processing is a procedure of converting an image into digital form and carry out some operation on it, in order to get an improved image and take out several helpful information from it. Mathematically image processing is defined as the processing of a two dimensional picture by a computer i.e., an image is defined as a function of two real variables, like t(x, y) with an amplitude such as brightness of an image at the coordinate point (a, b). The outcome of image processing can be an image or a set of features or characteristics related to the image. Most image processing methods treats an image as a two-dimensional signal and implementing standard signal-processing techniques to it. The goal of this operation can be divided into 3 categories. Firstly image processing in which input is an image and output is also an image; secondly image analysis in which input is an image and output are the dimensions or measurements. Finally image understanding in which input is an image and output is the standard description of an image. Some of the important applications of image processing in the field of science and technology include computer vision, remote sensing, feature extraction, face detection, forecasting, optical character recognition, finger-print detection, optical sorting, argument reality, microscope imaging, lane departure caution system, Non-photorealistic representation, medical image processing, and morphological imaging. Key Words: Image, Digital Image, Compression, Enhancement, OCR, ATR.

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 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.

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.

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.

We have to classify and analyze digital images for different study and purposes. Digital images are obtained from sources like camera, satellites, aircraft etc. Data obtained from satellites or aircraft i.e, the space based and remote sensing data needs to be corrected as they are usually geometrically distorted due to their acquisition system and the movements of the platform of aircraft. Processing and pre-processing are necessary for such correction prior to image classification. Image Processing is a technique which is used to enhance raw images received from cameras, satellites, space probes, aircrafts etc. and Digital image processing is the technique of processing images in the form of discrete digital brightness using digital circuits or digital computers. Image analysis and classification starts when processing and pre-processing ends.

2021

The objective of Image processing is to analyse and manipulate the digital image for improving its quality or to extract some information. Now a days image processing has a vast role in various aspects of companies. Image processing has huge application in pattern recognition, machine learning, IOT etc. So many platforms are there for image processing. Some of them are open source and some of them are licensed version. As this pandemic shows the real use of software, and this scenario the researches also increases rapidly. This paper will give a clear vision about different software for 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.

IJRCAR, 2013

Abstract— Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging. Image segmentation is a process of partitioning an image into sets of segments to change the representation of an image into something that is more meaningful and easier to analyze.

International Journal of Computer Engineering in Research Trends, 2017

In Imaging Science, Image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image. These image processing techniques can be used to perform applications in real-world. This image processing technique helps to improve various aspects related in the real- world. Some of these applications are in the field of health science, security assurance and augmented reality and also this can be applied in real-time applications. All these applications are performed by using image processing as its basic platform.