Image Quality Enhancement Based on Fusion using Cross Bilateral filter and Wavelet Transform

Authors

  • Neelam Yadav  SR Group of institution, Jhansi, Uttar Pradesh, India
  • Abhinav Jain  SR Group of institution, Jhansi, Uttar Pradesh, India

Keywords:

Wavelet Transform, Image Fusion, Bilateral Filter

Abstract

The images are widely used in various applications such as medical field. The quality of images should be improved so that better image analysis can be predicted. For that, image fusion concept is one of the popular techniques, where images are improved using more than one similar images. In this paper, a technique is proposed based on the concept of image fusion. In proposed technique, two input images are used where cross bilateral filter and wavelet based fusion are processed. The cross bilateral filter is used in such a way so that most of the image features can be obtained and fused. Wavelet based fusion is performed based on the DCT and PCA. The proposed scheme is tested on various images. In experimental evaluation, the PSNR and mean square error are obtained to analyze the experimental results. From result analysis, it was analyzed that most of the times; the proposed scheme is giving better outcomes.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-06-30

Issue

Volume 2, Issue 3, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Neelam Yadav, Abhinav Jain, " Image Quality Enhancement Based on Fusion using Cross Bilateral filter and Wavelet Transform, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.240-243, May-June-2017.