Region of Interest Based Compression of Medical Image Using Discrete Wavelet Transform

Abstract

Image abbreviation is utilized for reducing the size of a file without demeaning the quality of the image to an objectionable level. The depletion in file size permits more images to be deposited in a given number of spaces. It also minimizes the time necessary for images to be transferred. There are different ways of abbreviating image files. For the use of Internet, the two most common abbreviated graphic image formats are the JPEG formulation and the GIF formulation. The JPEG procedure is more often utilized or photographs, while the GIF method is commonly used for logos, symbols and icons but at the same time they are not preferred as they use only 256 colors. Other procedures for image compression include the utilization of fractals and wavelets. These procedures have not profited widespread acceptance for the utilization on the Internet. Abbreviating an image is remarkably not similar than the compressing raw binary data. General-purpose abbreviation techniques can be utilized to compress images, the obtained result is less than the optimal. This is because of the images have certain analytical properties, which can be exploited by encoders specifically designed only for them. Also, some of the finer details of the image can be renounced for the sake of storing a little more bandwidth or deposition space. In the paper, compression is done on medical image and the compression technique that is used to perform compression is discrete wavelet transform and discrete cosine transform which compresses the data efficiently without reducing the quality of an image.