RESTORATION OF REAL NOISY IMAGE USING DENOISING AND ENHANCING TECHNIQUES

Abstract

 Noise always disturbs image quality. Many filters can be used for denoising purpose but adds blurry effects. The need of removing degradation and preserving image details is become interesting research area in Image Processing. This paper presents a method for image restoration. The proposed method is based on three major techniques, Phase preserving approach, Normalization technique and Wavelets Transformation (WT). This study focuses to restore an image that has an additive white Gaussian noise and the proposed method is trying to restore it approximately to look like the original. The results obtained in MATLAB shows the denoising technique minimises noise present in the image and Wavelet Transform restore the image to a certain extent.

Authors and Affiliations

Vijayanand Chitragar*

Keywords

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  • EP ID EP122542
  • DOI -
  • Views 63
  • Downloads 0

How To Cite

Vijayanand Chitragar* (0).  RESTORATION OF REAL NOISY IMAGE USING DENOISING AND ENHANCING TECHNIQUES. International Journal of Engineering Sciences & Research Technology, 4(10), 190-195. https://europub.co.uk/articles/-A-122542