We present a new lossless compression method named FTTcoder, which compresses images and 3d sequences collected during a typical functional MRI experiment. The large data sets involved in this popular medical application necessitate novel compression algorithms to take into account the structure of the recorded data as well as the experimental conditions, which include the 4d recordings, the us...

There are many ways to encode, represent, and compress satellite images. Today, with the huge technological advance, algorithms are used to perform many calculations to compress and decompress a satellite image. The future of the compression can take place only through mathematical algorithms, and the progress of mathematical research undoubtedly will lead to an advance in image and file compre...

There are many ways to encode, represent, and compress satellite images. Today, with the huge technological advance, algorithms are used to perform many calculations to compress and decompress a satellite image. The future of the compression can take place only through mathematical algorithms, and the progress of mathematical research undoubtedly will lead to an advance in image and file compre...

This paper presents a new lossless image compression method based on the learning of pixel values and contexts through multilayer perceptrons (MLPs). The prediction errors obtained by MLPs are forwarded to adaptive arithmetic encoders, like conventional schemes. MLP-based has long been attempted for compression, recently convolutional neural networks (CNNs) also adopted lossy/lossless coding. W...

In this paper, image compression algorithms have reviewed for transmission over wireless networks. The performance evaluation is based on PNSR, bit-rate, computational complexity etc. and is evaluated using Advanced Image Coding software. It has observed that compression efficiences are reasonably comparable for the JPEG 2000 and AIC, which outperforms the conventional JPEG. Baseline JPEG 2000 ...

In this paper, we present a new image compression scheme, which is specially designed for computer generated compound color images. First we classify the image content into two kinds: text/graphic content and picture content. Then a rate-distortion optimized color quantization algorithm is designed for text/graphic content, which introduces distortion to text content and minimizes the bit rate ...

Research efforts on 3DTV technology have been strengthened worldwide recently, covering the whole media processing chain from capture to display. Different 3DTV systems rely on different 3-D scene representations that integrate various types of data. Efficient coding of these data is crucial for the success of 3DTV. Compression of pixel-type data including stereo video, multiview video, and ass...

Predictive coding has proven to be effective for lossless image compression. Predictive coding estimates a pixel color value based on the pixel color values of its neighboring pixels. To enhance the accuracy of the estimation, we propose a new and simple predictive coding that estimates the pixel color value based on the quantized pixel colors of three neighboring pixels. The prediction scheme ...

In this article the performance achieved by some specific data compression algorithms is compared with absolute limits prescribed by rate distortion theory for Gaussian sources under the mean square error distortion criterion. These results show the gains available by source coding and can be used as a reference for the evaluation of future compression schemes.

The B-tree and its variants have been widely applied in many data management fields. When a compression of these data structures is considered, we follow two objectives. The first objective is a smaller index file, the second one is a reduction of the query processing time. In this paper, we apply a compression scheme to fit these objectives. The utilized compression scheme handles compressed n...