SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) – Volume 7 Issue 6 – June 2020 ISSN: 2348 – 8387 www.internationaljournalssrg.org Page 4 Analytical Study on Digital Image Processing Applications A. Bindhu #1 , Dr. K. K. Thanammal *2 #1 Research Scholar , Department of Computer Science & Research Centre, S.T. Hindu College, 629002, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli – 627012, Tamil Nadu, India *2 Associate Professor, Department of Computer Science & Application, S.T. Hindu College,629002, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli – 627012, Tamil Nadu, India. Abstract The extreme flexibility of the digital method of image processing makes a wide variety of linear and nonlinear processes possible. The digital image processing techniques developed have been applied to images from a wide range of disciplines. In this paper, we have discussed about various applications such as Image sharpening and restoration, medical field, remote sensing, robotics, color processing, pattern and character recognition, video processing, agriculture, finger print biometrics, forensic, medical palmistry, signature recognition, vehicle detection from satellite images ,etc. Keywords — Digital Image Processing, Analytical study on DIP, UV Imaging, Biometrics, Segmentation. . I. INTRODUCTION An image is defined by the mathematical function f(x, y) where x and y are the two co- ordinates horizontally and vertically. Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. Digital Image Processing (DIP) is a rapidly evolving field with growing applications in science and engineering. Image processing holds the possibility of developing the ultimate machine that could perform the visual functions of all living beings [1]. Figure 1.1. How DIP works In the above figure, an image has been captured by a camera and has been sent to a digital system to remove all the other details, and just focus on the water drop by zooming it in such a way that the quality of the image remains the same II. APPLICATIONS OF DIGITAL IMAGE PROCESSING Some of the major fields in which digital image processing is widely used are mentioned below.  Image sharpening and restoration  Medical field  Remote sensing  Transmission and encoding  Machine/Robot vision  Color processing  Pattern recognition  Video processing  Microscopic Imaging A. Image sharpening and restoration Sharpness is a combination of two factors: resolution and acutance. Resolution is straightforward and not subjective. Sharpening is a technique for increasing the apparent sharpness of an image. The image restoration are the removal or reduction of degradations which are included during the acquisition of images e.g.; Noise, pixel value errors, out of focus blurring or camera motion blurring using prior knowledge of the degradation phenomenon. This means it deals with the modeling of the degradation and applying the process (inverse) to reconstruct the image. The image restoration has got a wide scope of usage. B. Medical field The common applications of DIP in the field of medical are Gamma ray imaging, PET scan, X Ray Imaging, Medical CT, Imaging in the ultraviolet band, Imaging in the microwave band [2]. Clustered micro calcifications (MC) can be an important early sign of breast cancer. They appear as bright spots of calcium