in this paper, an object-based, highly scalable, lossy-to-lossless 3d wavelet coding approach for volumetric medical image data (e.g. mr and ct) is proposed. the new method, called 3dobhs-spiht, is based on the well known set partitioning in hierarchical trees (spiht) algorithm and supports both quality and resolution scalability. the 3d input data is grouped into groups of slices (gos) and eac...

Medical image compression is an important area of research which aims at producing algorithms that reduce file size and at the same time maintain relevant diagnostic information. The main focus of this paper is to analyze techniques and find a compression scheme that can compress medical images quickly and reduce compression rate while maintaining a good level of visual quality. A Region Of Int...

This paper assesses the coding performance of several state-ofthe-art 3D wavelet coders and compares them with newly proposed compression methods exploiting quad-tree and blockbased coding concepts, layered zero-coding principles and context-based arithmetic coding. The discussed wavelet-based coding algorithms produce losslessly compressed embedded data streams, supporting the desired progress...

The wavelet transform is widely used in the task of hyperspectral image compression (HSIC). They have achieved outstanding performance a (HS) image, which has attracted great interest. However, based algorithm (HSICA) low-coding gain than other state art HSIC algorithms. To solve this problem, manuscript proposes curvelet algorithm. multiscale mathematical that represents curve and edges HS mor...

Compression is one of the most demanding of the processing steps. Still, image compression is achieved by removing spatial redundancy, while in video devices, temporal redundancy can be used to further improve the compression performance. Various image compression algorithms and coding schemes have been proposed, such as predictive coding, Discrete Cosine Transform (DCT) based compression algor...

Improvement of the compression efficiency by modification of standard wavelet compression scheme with uniform scalar quantization and entropy coding of wavelet coefficients is considered. Generally Antonini filters ocurred the most effective for medical image compression. Quantization procedure is based on variable step size and adaptive threshold data selection. Quantized values coding concept...

Lossless text data compression is an important field as it significantly reduces storage requirement and communication cost. In this work, the focus is directed mainly to different file compression coding techniques and comparisons between them. Some memory efficient encoding schemes are analyzed and implemented in this work. They are: Shannon Fano Coding, Huffman Coding, Repeated Huffman Codin...

We compare the performance of video compression algorithms in terms of compression ratio, video distortion and computation time in order to study the feasibility of a real time software videophone for 64 kbits/s channels, with exible user deened compression methods. We can combine and adjust the compression algorithms to the required bandwidth and video quality. We introduce the double logarith...

Modern seismic surveys with higher-precision numerization (24-bits A/D converters) have led to ever increasing amounts of seismic data. Management of these large datasets becomes critical, not only for transmission, but also for storage, processing and interpretation. Compression algorithms have been proposed in the geophysicists' community over the past few years as a way to e ectively manage ...