Review on Image Denoising Techniques

The requirement for image denoising is encountered in many practical applications. Such as, distortion due to additive white Gaussian noise (AWGN) can be caused by poor quality image acquisition, images analyzed in a noisy environment or internal noise in communication channels. In this review paper image denoising is studied along with the common source of noise and quality measures. After reviewing standard image denoising methods as applied in the frequency and wavelet domain of the noisy image, this work attempt the developing with new image denoising methods based on wavelet transforms. The context-based wavelet thresholding, fractal-wavelet image denoising can be adopting in the pixel and the wavelet domains of the noisy image. In order to enhance the quality of the Images denoised must be estimated. The image denoising methods are competitive or sometimes even compare favorably with the existing image denoising techniques reviewed in the paper and therefore this work broadens the uses and scope of Image Denoising Methods. Keywords-Image denoising; PSNR; Wavelet transform.