A NOVEL MULTI ALGORITHMIC APPROACH FOR THE CLASSIFICATION OF DIGITAL MAMMOGRAMS
Swetha Shankar · 2013
A structure-adaptive hybrid vector filter is proposed for digital color image restoration. At each pixel location, the image vector (i.e., pixel) is first classified into several different signal activity categories by applying modified quad tree decomposition to luminance component (image) of the input color image. A weight-adaptive vector filtering operation with an optimal window is then activated to achieve the best tradeoff between noise suppression and detail preservation. Through extensive simulation experiments conducted using a wide range of test color images, the filter has demonstrated superior performance to that of a number of well known benchmark techniques, in terms of both standard objective measurements and perceived image quality, in suppressing several distinct types of noise commonly considered in color image restoration, including Gaussian noise, impulse noise, and mixed noise. Index Terms—Adaptive vector filtering, digital color image restoration, modified quad tree decomposition, structureadaptive hybrid vector filter. 1.