Abstract: Digital Image Processing is a process in which digital images are processed by the means of digital computer. Its main application is to improve the pictorial information for human interpretation. Almost all of the digital images contain noise. To improve a digital image, a number of enhancement techniques are available. Filtering is one of the common techniques used to remove unwanted information (noise) from the image. Image enhancement plays a vital role in every field particularly where images need to be closely examined and understood. Different images like satellite images, medical images, aerial images, microscopy images and even the real life photographs contain poor noise and a difference in lightness, brightness and/or hue between two colors that makes them more or less distinguishable. It is also used for image sharpening and smoothening. The problem of is considered as a quality improvement problem. Digital images contain various types of noises which reduce the quality of images. Noises can be removed by various enhancement techniques. Digital images can be either spatial domain or frequency domain. This paper investigates various techniques used in spatial domain image processing.
Keywords: spatial domain; filter; smoothing; sharpening; noise.
Title: Review of Image Enhancement in Spatial Domain
Author: Vimal Bibhu, Bhanu P.Lohani, Megha Vaid, Anjana Swanny, Komal Verma
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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