A NEW APPROACH ON NOISE ESTIMATION OF IMAGES
L. Mredhula · International Journal of Research in Engineering and Technology · 2014
This paper proposes a new idea towards the researches on noise estimation on images.Image Denoising is always a challenging field as visual quality factor plays an important role.The noise estimation process is done in the transformed domain.In this work, Wavelet Transform is used because of its sparse nature.Then a Bayesian Approach is adopted by imposing an a priori Gaussian Distribution on the transformed pixels.The image quality is checked before entering to noise estimation process by using Maximum-Likelihood Decision criterion.Then a new bound based estimation process is designed by taking the idea from Cramer-Rao Lower Bound for signals in Additive White Gaussian Noise.A visually better result is observed in the experimental output which is obtained after reconstructing the original image.