DefinePK

Abstract

The main aim of the project is to improve the resolution of brain image via discrete wavelet based decomposition. Magnetic resonance imaging (MRI) scan is better than the X-ray, CT scan and Ultra Scan to detect the location of tumor in human body. Because the resolution is high in MRI scan. Also various features can be recognized from MRI scan. Digital Image Processing (DIP) is performed to avoid the unwanted noise occur in the scanned images. In mathematical scrutiny and functional scrutiny, a discrete wavelet transform (DWT) is a few wavelet transform for which the wavelets are distinctly sampled. Because with additional wavelet transforms, a key benefit it has over Fourier changes is temporal decision: it detains both location information in time and frequency. The discrete wavelet based decomposition is applied in the proposed technique for both normal and abnormal MRI scan brain images. Also seven features such as contrast, correlation, mean, standard deviation, entropy, energy and homogeneity are analyzed for both normal and abnormal images of all types of segmentation process. From the analysis, the computation time is very low and accuracy is high in discrete wavelet based decomposition for de-noising and resolution enhancement.