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An Efficient Fixed Noise Removal in Images Using Dual Tree Complex Wavelet Transform and DTCWT-OSP

D.Suresh, P.Suseendhar , T.S.Krishna Priya

Main objective of in this paper computer based manipulating and analyzing an image. We proposed algorithm fully based on wavelet transform the main function of wavelet transform is real and imaginary value s into orthonormal series. Proposed two algorithms first one is dual tree complex wavelet transform (DTCWT) and another one is dual tree complex wavelet transform with orthogonal shift property (DTCWT with OSP) both are used for image denoising process .wavelet transform mostly used for image denoising process. In this algorithms are novel method forimpulse noise reduction in images .image denoising compare to wavelet transform in this algorithms is best one for image denoising and also improve orthogonal and symmetrical properties and originality of the image is improved and also shown in experimental results of proposed algorithms. Improved signal to noise ratio level (SNR).