Абстрактный

Performance Analysis of Local Adaptive Real Oriented Dual Tree Wavelet Transform in Image Processing

Swati Khare, Harshvardhan Mathur

-De-noising is used to remove the noise from corrupted image, while retaining the edges and other detailed features as much as possible.. Filtering of these images is required to maximize the original content and suppress the effect of noise generated from random source. In this paper, we have evaluated and compared performances of modified de-noising method and the local adaptive real oriented dual tree wavelet image de-noising method. We have evaluated and compared performances of modified de-noising method and the local adaptive real oriented dual tree wavelet image de-noising method. These methods are compared with other based on PSNR (Peak signal to noise ratio) between original image and noisy image and PSNR between original image and de-noised image.