Image Enhancement Techniques in the Spatial Domain: An Overview
Article Details
Pub. Date
:
Apr,
2015
Product Name
:
The IUP Journal of Computer Sciences
Product Type
:
Article
Product Code
:
IJCS41504
Author Name
:
Deepa Raj and Pushpa Mamoria
Availability
:
YES
Subject/Domain
:
Management
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:
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No.
of Pages
:
15
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Abstract
Enhancement is the process of manipulating an image so that the resultant one is more suitable than the original for a specific application. Usually, the images taken by different cameras or devices are not suitable due to dull and less contrast. Using digital image processing, one can enhance or sharpen the image. Lots of techniques are available as first derivation technique like Sobel mask, second derivative technique like Laplace mask and many more. This paper highlights the different techniques of image enhancement and their importance in the spatial domain for the gray scale image.
Description
Image enhancement is a process that emphasizes the image features by extracting some
of the characteristics while restraining the others in the image. It is one of the methods
to improve the quality of the original image which can easily be applied for computer
imaging problems. There are many objectives in image enhancement such as contrast
enhancement, noise reduction, feature enhancement and so on. Usually, image
enhancement techniques make selective operations on some features in the image
without increasing or decreasing the image information.
In other words, image enhancement is a technique to convert original image into
a form which is more suitable for computer vision applications and human use. Image
enhancement methods are generally edge detection methods and image contrast
enhancement. Edge detection method detects the edges in a given image by
emphasizing some characteristics by using filtering or masking, so that the processed
image includes quality with better visibility. This is an important stage in medical image
analysis to improve the quality (clarity) of images for humans or further processing for
medical purposes. The examples of enhancement operations include removing blurring
and noise, increasing contrast and revealing details. The enhancement techniques
differ from one application to another according to their objectives.
