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

Authors(2) :-Neelam Yadav, Abhinav Jain

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.

Authors and Affiliations

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

Wavelet Transform, Image Fusion, Bilateral Filter

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 240-243
Manuscript Number : CSEIT172327
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Neelam Yadav, Abhinav Jain, "Image Quality Enhancement Based on Fusion using Cross Bilateral filter and Wavelet Transform", International 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.
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