| Summary: | 碩士 === 國立海洋大學 === 電機工程學系 === 86 === A new algorithm incorporated with standard median filtering is
proposed to effectively remove impulsive noise in image
processing. This computationally efficient approach first
classifies input pixels and then performs median filtering
process. Simulation results show that the proposed scheme,
regardless of high SNR or low SNR, displays superior mean square
error (MSE) over standard median filter. Threshold estimation is
a critical step in the Waveshrink method which aims to produce a
faithful replica of the uncorrupted input signal. Empirical
results show, however, that Waveshrink thresholds (eitherMinimax
or Universal) are often too large or too small for achieving
optimal results. Alternatively, we present an intuitive approach
useful for estimating better thresholds that significantly
improve the de-noising performance.
|
|---|
