Quantum noise are more likely to occur in mammographic images and it effects the accuracy
of classification. In this paper, Genetic Programming (GP) based novel hybrid ensemble method
designed for noise amputation from breast mammogram images has been proposed. Three different
filters Frost filter, Weiner filter and Non Local Means has been fused by using Genetic Programming
for noise removal. The fused GP based filter calculate the value by combining three filters and replacing
them with the noisy pixels. Peak signal to noise ratio (PSNR) and Structure Similarity Index
measure (SSIM) as a quantitative measures has been employed for evaluation of proposed method
with different existing methods. Experimental results show that proposed method bring forward better
results as compared to existing methods.
Keywords: Frost, genetic programming, non local mean, quantum noise, weiner.
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