Image Enhancement using Frequency and Spatial Technique using Alpha Rooting with Bi – Histogram Equalization
Main Article Content
Abstract
Image Processing deals with analysis of image using different techniques for different purpose. Image Processing deals with the any action to change a image. Image processing has different methods like optical, analog and digital image processing. Digital image processing is a part of signal processing where we processes digital images using computer algorithms. The computer algorithms can be modified so that we can also change the appearance of the digital image easily and quickly. Many images such as medical images, remote sensing images, electron microscopy images and even real life photographic pictures, suffer from poor contrast. Therefore it is necessary to enhance the contrast. Today there are many image enhancement techniques are available. There are some drawbacks of these techniques. Adaptive histogram produces blurred and washed out images especially at the edges. Whereas alpha rooting produces over-graying enhanced images so to overcome all these drawbacks. In this proposed method we are combining the frequency domain and spatial domain techniques for image enhancement by using alpha rooting techniques with Bi-Histogram Equalization in order to enhance the quality of the image. There are many histogram equalization based methods have been introduced, many of these methods are relatively complicated in implementation, and most of Techniques require a high computational time. Bi - Histogram Equalization with Plateau Level (BHEPL) as one of the options for the system that requires a short processing time image enhancement.
Keywords: Image enhancement, spatial domain technique, Bi-Histogram Equalization technique, alpha rooting (key words)
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.