Homogeneous data in radiological image databases consumes an extraordinary amount of storage space. An example of this is the multiple voxels representing different cross sections of a body part being imaged, which are referred to as volumetric data sets. Lossless compression algorithms are imperative for efficient storage and transmission of volumetric data sets. This paper presents a diagnost...

in this paper a discrete big bang-big crunch algorithm is applied to optimal design of reinforced concrete planar frames under the gravity and lateral loads. optimization is based on aci 318-08 code. columns are assumed to resist axial loads and bending moments, while beams resist only bending moments. second-order effects are also considered for the compression members, and columns are checked...

In this paper, a new ECG compression method called Wavelet Threshold Based Immune Algorithm (WTBIA) is proposed. This method based on finding the best threshold level for each wavelet subband using Immune Algorithm (IA). The WTBIA algorithm consists of three main steps: 1) Applying 1-D Discrete Wavelet Transform (DWT) on ECG signal; 2) Thresholding of wavelet coefficients in each subband; and 3...

This paper analyses wavelet filters and SPIHT encoding techniques in compression and decompression of medical images. Medical images acquired have uneven aspect ratio, region of interest decides the aspect ratio, and compression algorithm performance varies based on aspect ratio. This paper tries to offer a novel algorithm that preprocesses the input image with uniform aspect ratio prior to com...

We have recently introduced a novel compression algorithm for packet networks: delayed-dictionary compression, which enables an improved compression-latency trade-off. By allowing delay in the dictionary construction, the algorithm handles effectively the problems of packet drops and packet reordering: Its compression quality is close to that of streaming compression (and is substantially bette...

Hyperspectral image compression is an important task in remotely sensed Earth Observation as the dimensionality of this kind of image data is ever increasing. This requires on-board compression in order to optimize the donwlink connection when sending the data to Earth. A successful algorithm to perform lossy compression of remotely sensed hyperspectral data is the iterative error analysis (IEA...

QUANTUM EVOLUTIONARY ALGORITHM (QEA) IS A NOVEL OPTIMIZATION ALGORITHM, PROPOSED FOR COMBINATORIAL PROBLEMS LIKE KNAPSACK AND TRAP PROBLEMS. WHILE FRACTAL IMAGE COMPRESSION IS IN THE CLASS OF NP-HARD PROBLEMS AND QEA IS HIGHLY SUITABLE FOR THE CLASS OF COMBINATORIAL PROBLEMS, QEA IS NOT WIDELY USED IN FRACTAL IMAGE COMPRESSION YET. IN ORDER TO IMPROVE THE PERFORMANCE OF FRACTAL IMAGE COMPRESSIO...

As the coming era is that of digitized medical information, an important challenge to deal with is the storage and transmission requirements of enormous data, including medical images. Compression is one of the indispensable techniques to solve this problem. In this work, we propose an algorithm for medical image compression based on a biorthogonal wavelet transform CDF 9/7 coupled with SPIHT c...

Image compression is a key technology in transmission and storage of digital images because of vast data associated with them. This research suggests a new image compression scheme with pruning proposal based on discrete wavelet transformation (DWT). The effectiveness of the algorithm has been justified over some real images, and the performance of the algorithm has been compared with other com...

Block Truncation Coding (BTC) is a streamlined and competent application for image compression. An improved BTC algorithm, namely Enhanced Block Truncation Coding (EBTC), is presented in this research study. Several gray scale images are used to appraise the coding efficiency and performance of this proposed algorithm with existing image compression algorithm. It is habitually shown that propos...