By Topic

A new technique for efficient compression of remote sensing images using the Hartley transform and Matched Slope Zonal Filtering (MSZF)

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
El-Khamy, S.E. ; Dept. of Electr. Eng., Alexandria Univ., Egypt ; Sadek, R.A.

A new technique is developed for zonal filtering of transformed environmental images that avoids some of the disadvantages of already existing techniques and results in better image compression. The two-dimensional discrete Hartley (DHT) and Fourier transforms (DFT), are used to investigate the performance of the new technique and compare it with that of other currently used schemes. The basic idea behind the suggested technique is that each image has an optimal slope direction choice that specifies the zone that gives the best reconstruction results. This slope is determined by the nature of the image and its statistics. So, the authors call their new technique Matched-Slope Zonal-Filtering (MSZF). It can be considered as an improved generalisation of most known zonal filtering schemes. True remote satellite sensing images are used to test the technique

Published in:

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International  (Volume:4 )

Date of Conference:

6-10 Jul 1998