A Survey on Removal of Gaussian Noise from Face Images

In digital image processing the face images play important role in many applications like identification or verification of a person, emotion detection and classification and in many of security related applications. This paper includes the survey of well known noise removal filters to remove gaussian noise in spatial domain. The experiments are performed on the face images taken from Female Facial Expression (JAFFE) database. The performance of all filters has been evaluated at various noise densities in terms of SNR, EPI, SSIM and MS-SSIM.