Abstract

Image denoising plays a vital role in many image processing application to reduce the noise level without affecting the original image features. In this paper a powerful image denoising algorithm LPG-PGA with preprocessing step like Diffusion is introduced to improve the quality of the image. Per-processing step like diffusion is a necessary one in-case of noise is an important consideration, where the diffusion filter has strong smoothing characteristics [4-5]. PCA is statistical techniques which can be used to reduce the dataset from higher dimension to lower dimension without huge loss of image features [1]. The proposed system performance is evaluated by using various types of objective metrics like PSNR, SSIM, MSE, LMSE and NAE. The result shows that the proposed method has good promising performance compare to existing method.

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