In this paper, Hybrid generalized extreme value distribution based Continuous Wavelet based controulet transform (HGE-CWBCT) is proposed for efficient image compression of DICOM images. The widely used standard for medical image storage and transmission is named as Digital Imaging and Communication in Medicine (DICOM). In every field of medicine including diagnosis, treatment and research, medi...

Modern medical image diagnostic are often based on X-ray, computerized tomography and magnetic resonance imaging technique. The raw data delivered by such imaging devices more often than not take several mega-bytes of disk space. The diagnostic images for radiology interpretation must be efficiently stored and transmitted by physician for the further medical or legal purposes. Digital medical i...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

Due to the advent of medical image modalities such as X-ray angiography, CT imaging, MRI, ultrasound and digital video, a large volume of image data is being generated in hospitals and medical organizations nowadays. One of the hurdles faced by the health care institutions is limited network bandwidth to access, transfer and share these medical images for the teleconsultation, telediagnosis and...

Many techniques for achieving data compression have been introduced. The fundamental goal of image data compression is to reduce the bit rate for transmission or storage while maintaining an acceptable reproduction quality, but it is natural to raise the question of how much an image can be compressed and still preserve sufficient information for a given telemedicine application. Evaluation of ...