Review of Noise Removal Techniques for Fixed Valued Impulse Noise
Priyanka Rastogi, Neelesh Kumar Gupta · International Journal of Computer Applications · 2015
Noise removal is one of the biggest challenges in the field of image processing.Impulse noise removal is one of the most necessary and important preprocessing step in digital image processing.Several median based techniques are reported in literature for different noise models.Each of them has their advantages and limitations.Most of the filters are good at noise suppression but their performance decreases in terms of edge preservation.In the review paper , various algorithms for removal of fixed valued impulse noise and their performance under different noise conditions and for various fixed valued noise models is discussed.All the techniques have their advantages and limitations.The comparative study helps in identification of most efficient algorithms in terms of edge conservation and noise suppression to restore the original image to the best possible extent given the degraded version.Most of the techniques are suitable for some particular noise models and thus does not perform satisfactorily on other types of noise models.