  Image denoising is one of the fundamental problems in image processing. In
this paper, a novel approach to suppress noise from the image is conducted by
applying the interquartile range (IQR) which is one of the statistical methods
used to detect outlier effect from a dataset. A window of size kXk was
implemented to support IQR filter. Each pixel outside the IQR range of the kXk
window is treated as noisy pixel. The estimation of the noisy pixels was
obtained by local averaging. The essential advantage of applying IQR filter is
to preserve edge sharpness better of the original image. A variety of test
images have been used to support the proposed filter and PSNR was calculated
and compared with median filter. The experimental results on standard test
images demonstrate this filter is simpler and better performing than median
filter.
