This paper proposes an efficient compression scheme for compressing time-varying medical volumetric data. The scheme uses 3-D motion estimation to create a homogenous preprocessed data to be compressed by a 3-D image compression algorithm using hierarchical vector quantization. A new block distortion measure, called variance of residual (VOR), and three 3-D fast block matching algorithms are us...

This paper proposes a comparison method for various compression techniques for medical imaging systems. The quality of images reconstructed with compressed datasets is used to score the compression process. The image quality is measured by mutual information between a reference and the reconstructed images. Six lossy compression methods, ranging from simple thresholding to discrete wavelet base...

We undertake a study of the performance difference of different transform coding techniques i.e. Block truncating coding, wavelet and fractal image compression. This paper focuses important features of transform coding in compression of still images, including the extent to which the quality of image is degraded by the process of compression and decompression. The above techniques have been suc...

The implementation of digital signal process system based on FPGA is an important method for embedded system. Pulse compression can be implemented in digital method. The realization of a multichannel pulse compression system by using all digital method has the characteristics of high reliability, strong anti-disturbance, good flexibility and convenient for application. In essence, pulse compres...

One of the main part of image compression is a quantization process which give a significant effect to the compression performance. However, image compression based on the quantization produces blocking effect or artifact image. This research proposes a novel bit allocation strategy which assigning an optimal budget of bits in image compression. The bit allocation is proposed to replace the rol...