The main objective of medical image compression is to attain the best possible fidelity for an available communication and storage [6], in order to preserve the information contained in the image and does not have an error when they are processing it. In this work, we propose a medical image compression algorithm based on Artificial Neural Network (ANN). It is a simple algorithm which preserves...

Hospitals and clinical environments are moving towards computerization, digitization and centralization, resulting in prohibitive amounts of digital medical images. Advance in telecommunication and information technology and emergence of electronic management systems are other reasons that resonating image problems. Therefore, Compression techniques are essential in archival and communication o...

Image compression is the important task for the medical images. Economic and effective image compression techniques are hardly required to minimize the storage volume of medical database in hospitals as well as maintaining the image quality. But the transmission and storage of such a large data could be a tedious job. There are various methods to encrypt the images while transmission. In this r...

Image compression technique is widely used in multimedia applications such as image, video, audio data and medical field. Image compression aims to reduce the redundancy of an image data and reduce the storage space of an image. Different image compression techniques were proposed to achieve high compression ratios and high image qualities in low computation time. This document presents the rev...

Digital medical powerful tools for diagnosis, treatment and surgery and plays a vital role in modern healthcare delivery. Large storage capacity is needed for storing these images and for transmitting them. This leads to the strong demand for digital medical image compression and reliable transmission. In this study, we have applied three compression methods to medical images. In all the method...

Exchanging a medical image via network from one place to another place or storing a medical image in a particular place in a secure manner has become a challenge. To overwhelm this, secure medical image Lossless Compression (LC) schemes have been proposed. The original input grayscale medical images are encrypted by Tailored Visual Cryptography Encryption Process (TVCE) which is a proposed encr...

In this paper, we implemented both sequential and parallel version of fractal image compression algorithms using CUDA (Compute Unified Device Architecture) programming model for parallelizing the program in Graphics Processing Unit for medical images, as they are highly similar within the image itself. There are several improvement in the implementation of the algorithm as well. Fractal image c...

With extensive digitization of data and increasing use of telemedicine, most of image data in hospitals are stored in digital form using picture archiving and communication systems. The need for data storage and bandwidth requirements is increasing and lossy compression techniques have become a necessity. The successful use of the wavelet transform in the field of image compression has been ext...

In this study we evaluate the performance of several lossless grayscale image compression algorithms: algorithms that are standards in medical image transmitting and archiving systems, other algorithms used for compressing medical images in practice and in image compression research, and of a couple of universal algorithms applied to raw and preprocessed image data. In the experiments we use a ...

Problem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT appl...