IJREAS Volume 1, Issue 2 (October, 2011) ISSN: 2294-3905 International Journal of Research in Engineering & Applied Science http://www.euroasiapub.org 84 AN IMPROVED THRESHOLD ESTIMATION TECHNIQUE FOR IMAGE DENOISING USING WAVELET THRESHOLDING TECHNIQUES Rohtash Dhiman* Sandeep Kumar** ABSTRACT Historically, the field of image processing grew from electrical engineering as an extension of the signal processing branch. The massive amount of data required for images is a primary reason for the development of many sub areas within the field of computer imaging such as image segmentation and compression. Whatever may be the way of transmission, the data tends to get noisy and thereby the further processing does not lead to good results. Hence, it is very essential to keep the data close to originality. The prime focus of this paper is related to the pre processing of an image. The pre- processing being worked upon is the denoising of images. In this paper, a new threshold estimation technique has been presented along with the standard thresholding and filtering techniques. And a comparative analysis of different denoising methods has been carried out very efficiently. The simulation results show that the proposed threshold estimation technique has superior features compared to conventional methods. This makes it an efficient method in image denoising applications; it can also remove the noise and retain the image details better. Keywords - Wavelet-transform; MATLAB; Threshold function; Salt & Pepper noise; Median filter; Wiener Filter; PSNR. * Assistant Professor, Electrical Department, DCRUST Murthal, India **M.Tech Student, DCRUST Murthal, India