Removal of noise is a determining track in the image rebuilding process, but denoising of image remains a claiming problem in upcoming analysis accomplice along image processing. Denoising is utilized to expel the noise from corrupted image, where as we need to maintain the edges and other detailed characteristics almost accessible. This noise gets imported during accretion, transmitting & receiving and storage & retrieval techniques. In this paper, to discover out denoised image the modified denoising technique and the local adaptive wavelet image denoising technique can be obtained. The input (noisy image) is denoised with the help of modified denoising technique which is form on wavelet domain as well as spatial domain along with the local adaptive wavelet image denoising technique which is form on wavelet domain. In this paper, I have appraised and analyzed achievements of modified denoising technique and the local adaptive wavelet image denoising technique. The above procedures are contemplated with other based on PSNR between input image and noisy image and SNR between input image and denoised image. Simulation and experimental outgrowth for an image reflects as the mean square error of the local adaptive wavelet image denoising procedure is less efficient as compare to modified denoising procedure including the signal to noise ratio of the local adaptive wavelet image denoising technique is effective than other approach. Therefore, the image after denoising has a superior visual effect. In this paper, these two techniques are materialized with the help of MATLAB for denoising of image.