• Palvi Sethi
• Vishal Pareek

Image Denoising as well as enhancing is basically one of the fundamental challenges in the field of image processing and computer vision for improving the interpretability or awareness of information in images for human being spectators and providing `better' input for other automated image processing techniques. The fast development of digital image processing leads to the development of feature extraction of images such as Image fusion techniques as PCA and Discrete Wavelet Transform to minimize structural distortions. Now, after fusion basic problem in image processing is to suppress the noise in corrupted image by using image resolution enhancement and denoising. Histogram equalization (HE) is simple technique for enhancing image quality. The method here adapts itself to various types of image noise as well as factor that are to be derived to estimate the noise-free coefficients. Edges play an important role in image representation, one effective means to enhance spatial resolution is to enhance the edges. Effectiveness of various methods is compared with all other techniques such as median, wiener, Bayes shrink and Normal shrink methods for removing noise. This paper presents a review of some significant work in the area of the denoising with Homomorphic filtering techniques and summarizes related research work in this area.

DWT, Fusion, HE, Denoising, Homomorphic filters.

"Review: Restoration of degraded Images by using various Denoised Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.658-662, June-2019, Available :http://www.jetir.org/papers/JETIR1906S33.pdf

"Review: Restoration of degraded Images by using various Denoised Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp658-662, June-2019, Available at : http://www.jetir.org/papers/JETIR1906S33.pdf