Title :
A New FIR Filter for Image Restoration
Author :
Ahmad, Imteyaz ; Mondal, Partha P. ; Kanhirodan, Rajan
Author_Institution :
Dept. of Aerosp. Eng., Indian Inst. of Sci.
Abstract :
Image filtering techniques have potential applications in biomedical image processing such as image restoration and image enhancement. The potential of traditional filters largely depends on the apriori knowledge about the type of noise corrupting the image. This makes the standard filters to be application specific. For example, the well-known median filter and its variants can remove the salt-and-pepper (or impulse) noise at low noise levels. Each of these methods has its own advantages and disadvantages. In this paper, we have introduced a new finite impulse response (FIR) filter for image restoration where, the filter undergoes a learning procedure. The filter coefficients are adaptively updated based on correlated Hebbian learning. This algorithm exploits the inter pixel correlation in the form of Hebbian learning and hence performs optimal smoothening of the noisy images. The application of the proposed filter on images corrupted with Gaussian noise, results in restorations which are better in quality compared to those restored by average and Wiener filters. The restored image is found to be visually appealing and artifact-free
Keywords :
FIR filters; Gaussian noise; Hebbian learning; filtering theory; image restoration; FIR filter; Gaussian noise; Hebbian learning; Wiener filters; biomedical image processing; correlated Hebbian learning; finite impulse response; image enhancement; image filtering techniques; image restoration; inter pixel correlation; median filter; optimal smoothening; salt-and-pepper noise; Adaptive filters; Biomedical image processing; Filtering; Finite impulse response filter; Hebbian theory; Image enhancement; Image restoration; Noise level; Pixel; Wiener filter;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257087