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Noise Reduction in Images using Wavelet Shrinkage with Soft Thresholding

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README file!

CSCI 631: Foundations of Computer Vision

Project Title: Image Denoising using Wavelet Shrinkage

Created by: Dhaval Chauhan (dmc8686@rit.edu)
Created by: Anuja Vane (asv1612@rit.edu)
                  Computer Science Department
                  Rochester Institute of Technology

Created on: 08, December, 2017

Instructions to use MATLAB scripts:
	1) Run WaveletShrinkageTest( <Input_Image_Path> ); to induce noise
		in a clean input image and see it denoise using several denoising
		methods like local average, median filter and wavelet shrinkage.
		Needs around 2 - 3 megapixel pictures to work properly.
		
	2) Run DenoiseYourOwnImageUsingWaveletShrinkage( <Input_Image_Path> );
		to remove noise from your input noisy picture using Wavelet Shrinkage.
		Needs around 12 - 16 megapixel pictures to work properly.

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