Title :
Improved image visualisation through statistical techniques
Author :
Vadakkoot, Raveendran ; Raghavendra, Achuth
Author_Institution :
Infosys, PIE, Bangalore
Abstract :
Moving Average is a known technique used in the analysis of time-series data. Quite commonly it is used as a technique to smooth out spikes and highlight the trends. However when carefully applied to image data, moving average can produce quite effective results and with considerable improvement to computational performance. The topic discussed here uses an 8 point moving average computation algorithm. The algorithm used here applies like a low pass filter, taking on the spikes in the image data into consideration and eases out the effect of the noise if any.
Keywords :
data analysis; data visualisation; image processing; low-pass filters; moving average processes; smoothing methods; statistical analysis; time series; image processing; image spike smoothing technique; image visualisation; low pass filter; moving average computation algorithm; statistical technique; time-series data analysis; Data analysis; Data visualization; Image analysis; Image processing; Low pass filters; Noise figure; Pixel; Scattering; Signal processing algorithms; Time series analysis; image processing; low pass filter; moving average;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138631
