International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 103 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Comparative Studies | Electronics & Communication Engineering | India | Volume 4 Issue 7, July 2015


Comparison of Image Fusion Technique with Special reference to Information Content

Rashmi P. Jogiya | Sunil R. Gupta


Abstract: There is many image fusion methods which are used to produce high resolution multispectral images from high resolution panchromatic image and low resolution multispectral images. This paper deals with review on the different image fusion technique for a remote sensed image and the information content of image. In this paper the different image fusion techniques used are HIS transform, BROVEY transform and Principal Component Analysis (PCA) transform. And the information quantification methods of the image are Entropy, Spectral Similarity index and Feature Similarity index.


Keywords: Brovey, PCA, FSIM, SSIM


Edition: Volume 4 Issue 7, July 2015,


Pages: 1816 - 1821


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Rashmi P. Jogiya, Sunil R. Gupta, "Comparison of Image Fusion Technique with Special reference to Information Content", International Journal of Science and Research (IJSR), Volume 4 Issue 7, July 2015, pp. 1816-1821, https://www.ijsr.net/get_abstract.php?paper_id=SUB156800

Similar Articles with Keyword 'PCA'

Downloads: 2 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2

Masters Thesis, Electronics & Communication Engineering, India, Volume 11 Issue 7, July 2022

Pages: 575 - 578

An FPGA-Based Implementation of Emotion Recognition Using EEG Signals

Sonia Stanley Louis | Dr. Mahantesh K.

Share this Article

Downloads: 107

Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 4, April 2015

Pages: 3317 - 3320

Face Recognition Using the Concept of Principal Component Analysis

Tejaswini S | Vidyasagar K N

Share this Article
Top