The necessity in medical image compression continuously grows during the last decade. In advanced medical life large number of medical images is processed in hospitals and medical centers around the world. These images are in the form of sequences which are much correlated and are of great importance. Hence lossless image compression is needed to reproduce the original quality of the image with...

Medical diagnostic data produced by hospitals has increased exponentially. The coming era of digitized medical information and film-less imaging, has made it a challenge to deal with the storage and transmission requirement of enormous data. With this, selective medical image compression, a technique where explicitly defined regions of interest are compressed in a lossless way whereas image reg...

Homogeneous data in radiological image databases consumes an extraordinary amount of storage space. An example of this is the multiple voxels representing different cross sections of a body part being imaged, which are referred to as volumetric data sets. Lossless compression algorithms are imperative for efficient storage and transmission of volumetric data sets. This paper presents a diagnost...

[email protected] Abstract: The project proposes hybrid image compression model for efficient transmission of medical image using lossless and lossy coding for telemedicine application. Here, Fastdiscrete curvelet transform with adaptive arithmetic coding will be used for loss less compression. Since storage space demands in hospitals are continually increasing the compression of the recorde...

At the time when most of image data in hospitals are stored in digital form using picture archiving and communication systems (PACS), telemedicine goes through its boom, and demand for data storage and bandwidth requirements increases, lossy compression techniques become necessity. This review article summarizes different methods for quality measurement of image compression in radiology. After ...

The medical image processing process is one of the most important areas of research in medical applications in digitized medical information. A medical images have a large sizes. Since the coming of digital medical information, the important challenge is to care for the conduction and requirements of huge data, including medical images. Compression is considered as one of the necessary algorith...

Efficient image compression technique especially for medical applications is presented. Dyadic wavelet decomposition by use of Antonini and Villasenor bank filters is followed by adaptive space-frequency quantization and zerotree-based entropy coding of wavelet coefficients. Threshold selection and uniform quantization is made on a base of spatial variance estimate built on the lowest frequency...

Owing to the growth of technology there is a need for high performance and high capacity systems to efficiently utilize the bandwidth during transmission of images. Hence Compression of medical Images is required for data storage and transmission. One such compression algorithms which is found effective for medical images is fractal image compression. Fractal image compression (FIC) is a lossy ...

Region of Interest based compression is an efficient method of compression for images with a particular part to be most significant. It is always a better choice to compress the ROI with lossless compression while the rest of image with lossy compression technique. This paper proposes lossless compression for medical image(ROI) and near lossless compression for the rest of the image. Image othe...

Due to the development of CT (Computed Tomography), MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), EBCT (Electron Beam Computed Tomography), SMRI (Stereotactic Magnetic Resonance Imaging), etc. has enhanced the distinguishing rate and scanning rate of the imaging equipments. The diagnosis and the process of getting useful information from the image are got by processing t...