  Image denoising is a critical issue in the field of digital image processing.
This paper proposes a novel Salt & Pepper noise suppression by developing a
Kriging Interpolation Filter (KIF) for image denoising. Gray-level images
degraded with Salt & Pepper noise have been considered. A sequential search for
noise detection was made using kXk window size to determine non-noisy pixels
only. The non-noisy pixels are passed into Kriging interpolation method to
predict their absent neighbor pixels that were noisy pixels at the first phase.
The utilization of Kriging interpolation filter proves that it is very
impressive to suppress high noise density. It has been found that Kriging
Interpolation filter achieves noise reduction without loss of edges and
detailed information. Comparisons with existing algorithms are done using
quality metrics like PSNR and MSE to assess the proposed filter.
