Abstract—Most of the rules relating simple nonlinear threshold values for wavelet-based de-noising have assumptions that the wavelet coefficients are independent values. However, when we talk of natural images, we observe that wavelet coefficients have significant dependency. The phrase Peak Signal to Noise Ratio, often abbreviated PSNR, is an [9] engineering term for the ratio between the maximum possible power of a signal and the power of corrupted noise that affects the fidelity of its representation. In this paper, experimentation is performed to study the effect of Increasing Gaussian noise on PSNR and the corresponding measure. The last section of the paper illustrates the above explained concept with the graphical view of PSNR with increase in noise.

Index Terms—PSNR, Image, Wavelet, Gaussian Noise, MRE.

Parminder Kaur is M.Tech- Student at Deptt. Of ECE, DAVIET, Jalandhar, Punjab, India.
Jagroop Singh is working as faculty in Deptt. Of ECE, DAVIET, Jalandhar, Punjab, India.

Cite: Parminder Kaur and Jagroop Singh, "A Study on the Effect of Gaussian Noise on PSNR Value for Digital Images," International Journal of Computer and Electrical Engineering vol. 3, no. 2, pp. 319-321, 2011.