Abstrakt

Denoising of Images Using a Hybrid Image Fusion Algorithm

Priya Mamachan, Jinu Baby

The search for an efficient image denoising method is a challenging issue in the field of image processing. The main focus of this paper is to define an experimental methodology to reduce the noise in homogeneous area of the image and preserve the edges in the image. In the present work, a denoising method based on a hybrid image fusion using DDCT and PCA is proposed. Results are evaluated and compared by visual means, MSE, SNR, PSNR, RMSE and SF. Also, the numerical results show that the algorithm proposed is superior to traditional denoising filters used.