Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the common approaches to medical image compression we can distinguish the transformation-based and p...

Medical imaging is an important element in the medical diagnostic process. However, storing medical images in a certain format is quite challenging. The size of a digital medical image is in the range of 3–32 MB per examination, depending on the imaging modality. Image compression will be a suitable solution when it comes to minimizing the size of stored medical images. The quest to find a comp...

In view of the increasingly important role played by digital medical imaging in modern health care and the consequent blow up in the amount of image data that have to be economically stored and/or transmitted, the need for the development of image compression systems that combine high compression performance and preservation of critical information is ever growing. A powerful compression scheme...

Most hospitals store medical image data in digital form using picture archiving and communication systems due to extensive data digitization of data and increasing telemedicine use. Data storage needs and bandwidth requirements have necessitated use of lossy compression techniques. Wavelet transforms successful use in image compression was extensively studied in literature. Image segmentation a...

This paper represents the comparison technique of Image compression (using HAAR wavelet, Daubechies Wavelet, Coiflets Wavelet, Biorthogonal Wavelet).The testing have done in different image mode like medical images, JPG images etc. which reduce the image sizes on their storage requirements while maintaining relevant diagnostic information. The amount of data produced by these techniques is vast...

With the increasing utilization of medical imaging in clinical practice and the growing dimensions of data volumes generated by various medical imaging modalities, the distribution, storage, and management of digital medical image data sets requires data compression. Over the past few decades, several image compression standards have been proposed by international standardization organizations....

To meet the demand for high speed transmission of image, efficient image storage, remote treatment an efficient image compression technique is essential. Wavelet theory has great potential in medical image compression. Most of the commercial medical image viewers do not provide scalability in image compression. This paper discusses a medical application that contains a viewer for digital imagin...

Medical imaging plays a vital role in medical diagnosis. These medical images available in hospitals and medical organizations occupy a lot of space. The massive use of digitized images has led to the compression allowing economical storage and fast data transfer. Over the years, JPEG compression schemes based on Discrete Cosine Transform have been proposed and standardized. The input image has...

Compressions based on wavelet transform are the state-of-the-art compression technique used in medical image compression. For medical images it is critical to produce high compression performance while minimizing the amount of image data so the data can be stored economically. The wavelet-based compression scheme contains transformation, quantization, and lossless entropy coding. For the transf...