Medical Image Enhancement Based On Wavelet Transform
Chintada Lavanya, Dasari Yugandhar · 2016
Medical Images are often degraded by electronic equipments, power fluctuations and surrounding environment conditions. Medical images are widespread use in the detection of numerous diseases but noise and blurs present in medical images create obstacles in diagnose diseases. In this paper, Blind Image De- convolution (BID) procedure is implemented to restore mammographic images from Gaussian blur and then enhancement process is done using real dual tree wavelet transform. The result of these methods is also compared with the hybrid combination of BID, conventional wavelet Transform and median filter approach to remove Gaussian noise, Salt & Pepper and Speckle Noise with Gaussian blur. Mini-MIAS database is considered to evaluate the performance of these techniques.