Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
IMAGE SMOOTHINGWITH MINIMAL DISTORTION Steven C. Gustafson, Vasiliki E. Nikolaou, and Farid Ahmed
 

Summary: IMAGE SMOOTHINGWITH MINIMAL DISTORTION
Steven C. Gustafson, Vasiliki E. Nikolaou, and Farid Ahmed
University of Dayton
300 College Park, Dayton, Ohio 45469-0150
ABSTRACT
An innovative method that enhances detail in digital images by smoothing image pixels
while introducing minimal distortion is described and tested. In particular, a 14 by 14 pixel region of
a digital image is smoothed using a constrained Gaussian radial basis function method. This method
centers on each pixel a Gaussian distribution of amplitude such that the sum of all distributions
correctly reproduces the gray level of each pixel. To assess the method the distortion of the
smoothed image as measured by the deviation of its power spectrum from that of the unsmoothed
image is determined as a function of the Gaussian distribution width, and comparisons are made with
bilinear interpolation, a conventional convolution smoothing technique. The new method is capable
of removing more "pixel noise" while introducing less image distortion, thus permitting the
detection and examination of otherwise hidden detail in digital images. Example include the
detection and assessment of enemy weapons in military images and cancerous tumors medical
images.
1. INTRODUCTION
Numerous digital image smoothing techniques are available that remove blockiness due to
image quantization or pixelation [e.g., Pratt, 1991]. These techniques usually involve smoothing a

  

Source: Ahmed, Farid - Department of Electrical Engineering and Computer Science, Catholic University of America

 

Collections: Engineering