TITLE

An image improvement algorithm using phase congruency and multi-resolution fusion methods

AUTHOR(S)
Nistorescu, Alina Ionela
PUB. DATE
June 2011
SOURCE
International Journal of Research & Reviews in Computer Science;Jun2011, Vol. 2 Issue 3, p874
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents an image improvement algorithm using phase congruency map and multi-resolution transforms. The main idea relies on the fact that we want to increase the informational content (to make some features "more visible") from a damaged image by using phase information. The feature map result is combined with the original image using multi-resolution through a fusion process. This algorithm has been created to be used on satellite images, because the informational content of such images can be easily damaged as a result of the acquisition process or as a result of the weather conditions. This is the reason why we want to enhance them by using phase congruency which is a robust detector for illumination variation and scale.
ACCESSION #
82589867

 

Related Articles

  • Uses of NOAA-16 and -18 Satellite Measurements for Verifying the Limb-Correction Algorithm. Quanhua Liu; Fuzhong Weng // Journal of Applied Meteorology & Climatology;Apr2007, Vol. 46 Issue 4, p544 

    The Advanced Microwave Sounding Unit (AMSU) images display strong dependence on the scanning angle because of the temperature gradient of the atmosphere and the change in the optical pathlength between Earth and the satellite. Using a limb-adjustment algorithm, the temperature gradients can be...

  • A ROBUST FALSE MATCHING POINTS DETECTION METHOD FOR REMOTE SENSING IMAGE REGISTRATION. Shan, X. J.; Tang, P. // International Archives of the Photogrammetry, Remote Sensing & S;4/28/2015, Vol. 40-7/W3, p699 

    Given the influences of illumination, imaging angle, and geometric distortion, among others, false matching points still occur in all image registration algorithms. Therefore, false matching points detection is an important step in remote sensing image registration. Random Sample Consensus...

  • Mesoscale Cloud State Estimation from Visible and Infrared Satellite Radiances. Vukicevic, T.; Greenwald, T.; Zupanski, M.; Zupanski, D.; Vonder Haar, T.; Jones, A. S. // Monthly Weather Review;Dec2004, Vol. 132 Issue 12, p3066 

    This study focuses on cloudy atmosphere state estimation from high-resolution visible and infrared satellite remote sensing measurements and a mesoscale model with explicit cloud prediction. The cloud state is defined as 3D spatially distributed hydrometeors characterized with microphysical...

  • Remote Sensing. Kruse, Jason; Christians, Nick; Chaplin, Mike // Grounds Maintenance;Aug2004, Vol. 39 Issue 8, pG33 

    The article focuses on remote sensing which is the collection of information from an object without physical contact with that object. The three main levels from which remote sensing data can be obtained are satellite imagery, aerial photography and ground-based systems. The most prominent use...

  • Evaluation of Data Quality and Drought Monitoring Capability of FY-3A MERSI Data. Daxiang Xiang; Liangming Liu; Qiao Wang; Na Yang; Tao Han // Advances in Artificial Intelligence (16877470);2010, p1 

    FY-3A is the second Chinese Polar Orbital Meteorological Satellite with global, three-dimensional, quantitative, and multispectral capabilities. Its missions include monitoring global disasters and environment changes. This study describes some basic parameters and major technical indicators of...

  • Spot Image Awarded USGS Contract.  // Satellite Today;1/20/2006, Vol. 5 Issue 12, p3 

    The article reports on a contract awarded by the U.S. Geological Survey (USGS) to Spot Image Corp., the U.S. marketing arm of France's Spot Image, for the purchase of satellite imagery products and services in 2006. Spot Image operates a constellation of satellites that provide imagery with...

  • The Big Picture. MASEK, MICHAEL // Canadian Aviator;Jan/Feb2008, Vol. 18 Issue 1, p19 

    The article discusses the two most common satellite products seen in the world of aviation weather which include infrared and visual satellite images. The two types of weather satellites are the Geostationary Operational Environmental Satellite (GOES) and the National Oceanic and Atmospheric...

  • ON THE WEB: GIBBS.  // Bulletin of the American Meteorological Society;Apr2006, Vol. 87 Issue 4, p415 

    This article discusses global satellite images. The U.S. National Climatic Data Center has put together a global ISCCP BI Browse System, a historical set of browsable satellite images of the globe from 1983 through 2006. The site oversees more than 280 terabytes of digital satellite information,...

  • High-Latitude Atmospheric Motion Vectors from Composite Satellite Data. Lazzara, Matthew A.; Dworak, Richard; Santek, David A.; Hoover, Brett T.; Velden, Christopher S.; Key, Jeffrey R. // Journal of Applied Meteorology & Climatology;Feb2014, Vol. 53 Issue 2, p534 

    Atmospheric motion vectors (AMVs) are derived from satellite-observed motions of clouds and water vapor features. They provide crucial information in regions void of conventional observations and contribute to forecaster diagnostics of meteorological conditions, as well as numerical weather...

Share

Read the Article

Courtesy of

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics