Due to the increasing number of medical imaging images being utilized for the diagnosis
and treatment of diseases, lossy or improper image compression has become more …

The traditional BP (Back Propagation) neural network can realize image compression, but
because it extracts the overall features of images, there is still a problem of low compression …

Orthopedic implant procedures for hip implants are performed on 300,000 patients annually
in the United States, with 22.3 million procedures worldwide. While most such operations …

For reducing costs and having better access to e-based health care services, one of the
crucial requirements is for efficient storage and retrieval of medical images. The medical …

Image compression technique is very useful for reducing memory of storage devices and to
increase efficient utilization of bandwidth during transmission of data. So, we are making a …

Abstract A Fractal based Neural Network Radial Basis Function (FNNRBF) for image
compression is proposed through this work. Generally, a large amount of data are required …

The traditional image compression technique uses the redundancy of the image data to
compress the image without lossless coding by the corresponding coding techniques …

This paper presents a survey for medical image compression for both lossy and lossless
approaches. This survey discusses twenty-five publications with several applied lossy and …

Due to the increasing number of medical imaging images being utilized for the diagnosis
and treatment of diseases, lossy or improper image compression has become more …

As we know the image can be processed with the help of different types of coding for
example mat-lab. Here in this paper we are primarily focusing on some common filtering …