Compression of Medical Images using Hybrid Wavelet Decomposition Technique

Meenakshi Chaudhary, Anupma Dhamija

Abstract: Medical science develops very fast and therefore each hospital needs to store high volume of data about the patients. Medical images are important data about patients. So hospitals have a images with them and require a huge hard disk space and transmission bandwidth to store these images. Image compression is essential for huge database storage in various hospitals and data transfer for diagnosis. Various image compression techniques are used till now. But to improve image quality, here is the demand for new compression technique. In this paper, we provide a new compression technique with Hybrid wavelet (combination of MFHWT and Symlet wavelet) by applying Singular value decomposition method. Results are shown by comparing proposed method with the previous technique in terms of compression ratio, peak signal to noise ratio, mean square error etc. This work performs best by reducing MSE, size of compressed image and by increasing compression ratio and PSNR value

Keywords: Haar, MFHWT, SVD, Symlet, Wavelets