An efficient estimation and removal of noise parameters from current read out digital image sensor using variance transforms

------------------------------------------------------------ABSTRACT--------------------------------------------------------Digital Remote Image (DRI) denoising using thresholding methods means find appropriate value (threshold) which separates noise values to actual image values without affecting the significant features of the image. The aim of this project is to develop a best poisson noise removal filter from the comparative study analysis of filtering methods and successive approximation based thresholding technique. To estimation poisson noise this is de-noised using successive approximation and filtering techniques. First the noise is removed by median filter and then removed by wiener filter. Second noisy image is denoised with the help of wavelet based techniques using thresholding Third thresholding is applied on the result of first and second simultaneously for image denoising and fourth PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error) calculated and results are compared in all cases.