• Jayati Singh
• Rahul Dekar

Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This thesis reviews the existing denoising algorithms, such as filtering approach, wavelet based approach, and multifractal approach, and performs their comparative study. Different noise models including additive and multiplicative types are used. They include Gaussian noise, salt and pepper noise, speckle noise and Brownian noise. Selection of the denoising algorithm is application dependent.

PCA, LCA, ICA, Image-denoising

"A Review on Image Enhancement of Satellite and CCTV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.544-548, June-2019, Available :http://www.jetir.org/papers/JETIR1906E32.pdf

"A Review on Image Enhancement of Satellite and CCTV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp544-548, June-2019, Available at : http://www.jetir.org/papers/JETIR1906E32.pdf