A New Fuzzy Based Image Denoising Algorithm Using Lifting Wavelet Transform with Inter-Intra Scale Dependency

Denoising is an essential task in image and video processing techniques. Noise free images are helped analytical purposes. Many types of denoising techniques are proposed in various researches. Now days, the fuzzy based methods are applied in the field of image denoising. This paper proposed novel algorithm for fuzzy based denoising the images. The proposed algorithm used lifting wavelet transformation technique from image into wavelet coefficient conversion. The proposed algorithm is used two kinds of wavelet properties like inter scale and intra scale dependencies. This algorithm also develops new kind of fuzzy rules to indentify the noisy coefficient and remove the nosy values. The experimental are used four images in various sizes 256 x 256, 512 x 512 and 1024 x 1024 respectively. The results are proved that the proposed LWT based denoising algorithm is performed better in all images with various standard deviation levels.