Noise Reduction based on Multiple Copies Color Image Noise Estimation
Napa Sae-Bae, Somkait Udomhunsakul · International Journal on Electrical Engineering and Informatics · 2019
Nowadays, transmission in the form of color digital images is becoming a major method of communication.However, color digital images are often degraded by noise generated by sensors and during transmission channels.The aim of the noise reduction is to remove noise while keeping the important image features as much as possible.In this paper, a novel method to remove additive noise from color digital images, based on multiple copies of color image noise estimation, is proposed.The proposed method, noise variance in each band: red, green and blue, is estimated separately from noisy color images using the information of an original color image from another copy of noisy color images.This proposed noise estimation could be used in conjunction with the state-of-the-art denoising techniques to improve the quality of reconstructed images.Experiments to evaluate the performance and characteristic of the proposed noise estimation technique are performed on ten image datasets in various contents and wide range of noise variances.The results show that the proposed approach can be used to reconstruct color noisy images with better quality, in terms of PSNR and visual perception compared to an original wavelet shrinkage denoising technique particularly for the images with many high frequency components.