A Robust Approach for Low Resolution Medical Image Enhancement using DTCWT and SVD
Mr. Jadhav Mahesh · Helix · 2018
Low Resolution Image Enhancement is one of the most important features in Image processing domain whose main target is to improve with the help of which contrast and the visual appearance of an image can be improved that makes the input image more suitable than the original one for specific application.Low Resolution Medical Image enhancement is the active research field.A novel approach to enhance Low resolution medical images is combination of Dual tree complex wavelet transform(DTCWT), A Non-Local Mean(NLM) filter and singular value decomposition (SVD).Here, SVD is proposed to enhance the contrast of an image while high frequency sub bands are produced using dual-tree complex wavelet transform.A NLM Filter is used to remove the artifacts produced by dual-tree complex wavelet transform.Interpolated filtered high frequency sub-bands and contrast enhanced low resolution image are combined using inverse dual-tree complex wavelet transform to obtain contrast enhanced image of super resolution.Qualitative and quantitative measures such as Peak Signal to Noise Ratio (PSNR), Mean Square Error and Mean Absolute Error are used to justify the importance of proposed technique.