The Demand for bulk storages of Medical Images in today’s growing world has lead to many advanced Image compression algorithms. One such algorithms used for compressing images is Fractal image Compression (FIC).Fractal Image compression is found effective for medical images in preserving the quality of the image with high Compression Ratio. Fractal Encoding involves partitioning the images into...

In this paper we will introduce a method of analyzing images, a criterium to differentiate between images, a compression method of medical images in digital form based on the classification of the image bit plane and finally an algorithm for adaptive image compression. The analysis of the image content is based on a valiation of the relative number and absolute values of the wavelet coefficient...

OBJECTIVE To describe the use of a statistical tool (Principal Component Analysis - PCA) for the recognition of patterns and compression, applying these concepts to digital images used in Medicine. METHODS The description of Principal Component Analysis is made by means of the explanation of eigenvalues and eigenvectors of a matrix. This concept is presented on a digital image collected in th...

Despite over a decade of research and development, medical image compression has not yet been widely implemented on clinical picture archiving and communication systems (PACS). We have developed a prototype interface which incorporates both lossless and lossy compression into a browsing system that enables the efficient use of network and storage resources. Such a system allows an user to quick...

There are numerous applications of image processing, such as satellite imaging, medical imaging, and video where the image size or image stream size is too large and requires a large amount of storage space or high bandwidth for communication in its original form. Image compression techniques can be used e ectively in such applications. Lossless (reversible) image compression techniques preserv...

Transmission of compressed medical images is becoming a vital tool in telemedicine. Thus new methods are needed for efficient image compression. This study discovers the best design parameters for a data compression scheme applied to digital magnetic resonance (MR) images. The proposed technique aims at reducing the transmission cost while preserving the diagnostic information. By selecting the...

The recent development in the digital electronics and computer engineering has resulted in generation of large amount of data in the digital form. High resolution images are required in many fields such as remote sensing, criminal investigation, medical imaging etc. This motivates the need of compression of the size of the data. The main objective of the present study is to obtain better qualit...

-The minimizations of the storage space and transmission time are the two most important riding factors in image compression for telemedicine. Keeping this in view this paper intend to focus on a comparative investigation of three near lossless image compression technique, NLIC (near lossless image compression), SPIHT with DWT (Discrete Wavelets Transform), RLE (Run Length Encoding) with DCT (D...

The minimizations of the storage space and transmission time are the two most important riding factors in image compression for telemedicine. Keeping this in view this paper intend to focus on a comparative investigation of three near lossless image compression technique, NLIC (near lossless image compression), SPIHT with DWT (Discrete Wavelets Transform), RLE (Run Length Encoding) with DCT (Di...