Elimination of Noise in Image Using Soft Thresholding with Haar Wavelet Transform

In this project, we intend a new technique of noise removal from an image degraded with Gaussian noise using soft thresholding. In this project, we also compare Peak Signal-to-Noise Ratio (PSNR) of different technique. There are two types of thresholding: Soft and Hard thresholding. The Universal thresholding technique i.e. VisuShrink is based on the Hard-thresholding and it is not suitable for Soft-thresholding. In this we proposed simple method and adaptive since the estimation of thresholding parameters depends on the data of wavelet coefficients. According to the experimental results, this proposed method has higher Peak Signal-to-Noise Ratio (PSNR) than the Mantosh and VisuShrink methods.

Key words: Image Denoising, Peak Signal-to-Noise Ratio (PSNR), soft thresholding.