Author : Prateek Kumar and Sandeep Kumar Agarwal

Image denoising is the manipulation of the image data to produce a visually high quality image. At present there are a variety of methods to remove noise from digital images. There are different types of filters like mean filter, median filter, bilateral filter, wiener filter etc. to remove a single type of noise such as salt and pepper noise, speckle noise, Gaussian noise etc. But if the image is corrupted by mixed type of noise then these filters do not remove the noise exactly. Here a White Flower image has been taken for denoising purpose. Noisy image is first denoised by wavelet denoising technique, median filter, wiener filter and bilateral filter separately. Last it is denoised by hybrid filter. A Hybrid filter is composite of various filters to remove of mixed type of noise from a digital image. Hybridization of median filter, wiener filter and bilateral filter for denoising of variety of noisy images is presented in this paper. The comparison between denoised images is taken in terms of performance parameters such as MSE (mean square error), PSNR (peak signal to noise ratio), RMSE (root mean square error), SNR (signal to noise ratio) and SSIM (structural similarity index).The software used for simulation is MATLAB R2014a (8.3.0.532).

Keywords: Salt-and-pepper noise, Gaussian noise, speckle noise, wavelet denoising, median filter, bilateral filter, wiener filter, PSNR, SNR, RMSE, MSE, SSIM

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)