Digital image blurring-deblurring process for improved storage and transmission

Scarmana, Gabriel (2015) Digital image blurring-deblurring process for improved storage and transmission. In: IEEE International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015): Remote Sensing: Understanding the Earth for a Safer World, 26-31 July 2015, Milan, Italy.

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Abstract

This paper investigates the likelihood of using a blurring-deblurring process as a pre-post-processing step in standard image reconstruction and compression. As such, the paper relates to image coding and compression systems whereby an original image can be transmitted or stored in a coded and compressed representation which renders it blurred and degraded.
The compressibility of an image increases with the blurring, whereby the relation between compression ratio (CR) and the blurring scale is approximately linear. Hence, by pre-processing and blurring an image before compression, the CR will increase accordingly. The function or process tested here for blurring-deblurring an image is based on a pixel group processing, whereby the original image is sampled at sub-pixel levels. Since the sub-pixel shifts between each pixel group sampling are known exactly,a blurred image is created which can be shown to contain the details of the original image and thereby restored or reconstructed by reversing the blurring process.The complementary effects of increased CR are examined in terms of coding/decoding execution times and the quality of the reconstructed images.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2015 IEEE. Permanent restricted access to published version due to publisher copyright policy. Paper soon to be inluded in the IEEE (Institute of Electrical and Electronic Engineering) digital library http://ieeexplore.ieee.org/Xplore/home.jsp
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 20 Nov 2015 04:45
Last Modified: 16 Jun 2016 05:26
Uncontrolled Keywords: image filtering, image compression, image reconstruction
Fields of Research : 01 Mathematical Sciences > 0104 Statistics > 010405 Statistical Theory
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970104 Expanding Knowledge in the Earth Sciences
Identification Number or DOI: 10.1109/IGARSS.2015.7325818
URI: http://eprints.usq.edu.au/id/eprint/27595

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