LABVIEW BASED IMPLEMENTATION OF IMAGE DENOISING ALGORITHM USING WAVELET TRANSFORM

摘要

Digital image processing has become important in the areas of communication, medicine, remote-sensing, seismology, industrial- automation, robotics, aerospace and education. Image denoising is the technique used to remove the noisy components from the image and also, to preserve the information carrying components. Noise can be introduced in the image for various reasons as well as in different steps in image processing like image acquisition or image compression. We are applying wavelet transform method using Neigh Sure thresholding for image denoising because of some distinct advantages offered by the technique like its quantization property. This method will be implemented on LabVIEW. In this method we will first apply wavelet transform decomposition to noisy image to get sub divided components then by thresholding we adjust the coefficients according to thresholding and filter out unwanted noise components. Then by applying inverse wavelet transform the denoised image is reconstructed called derived image. The performance and accuracy is measured by calculating the PSNR and MSE of the derived image. The improvement will be demonstrated by comparing the proposed algorithm on LabVIEW with algorithm presented on MATLAB. LabVIEW is a graphical programming language and is used for interactive applications, hardware integration and real time processing.