Modern large-scale applications are generating staggering amounts of data. In an effort to summarize and index these data sets, databases often use bitmap indices. These indices have become widely adopted due to their dual properties of (1) being able to leverage fast bit-wise operations for query processing and (2) compressibility. Today, two pervasive bitmap compression schemes employ a varia...

In image based rendering (IBR), a 3D scene is recorded through a set of photos which is then rendered to form novel views. Compression is essential to reduce the huge data amount of IBR. In this paper, we examine three categories of IBR compression algorithms: the block coder, the reference coder and the wavelet coder. We examine both the compression efficiency and the capability to render the ...

Medical images show a great interest since it is needed in various medical applications. In order to decrease the size of medical images which are needed to be transmitted in a faster way; Region of Interest (ROI) and hybrid lossless compression techniques are applied on medical images to be compressed without losing important data. In this paper, a proposed model will be presented and assessed...

An image compression algorithm using JPEG-LS and cubic spline interpolation (CSI) is presented in this paper. The CSI is developed in order to subsample image data with minimal distortion and to achieve image compression. It has been shown in literatures that the CSI can be combined with the transform-based image compression algorithm to develop a modified image compression codec. The compressi...

A s the application of machine vision grows for inspecting electronic products during manufacturing , demand increases for better ways to archive and transmit the resulting images more efficiently. Companies often want a permanent record of virtually every image generated by their processes for troubleshooting and as protection against lawsuits. The ability to store more images and transmit the...

In this paper offers a simple and lossless compression method for compression of medical images. Method is based on wavelet decomposition of the medical images followed by the correlation analysis of coefficients. The correlation analyses are the basis of prediction equation for each sub band. Predictor variable selection is performed through coefficient graphic method to avoid multicollinearit...

Images include information about human body which is used for different purposes such as medical, security and other plans. Compression of images is used in some applications such as profiling data and transmission systems. Regard to importance of images information, lossless or lossy compression is preferred. Lossless compressions are JPEG, JPEG-LS and JPEG 2000 is few well-known methods for l...

It is proved that for finite-alphabet, finite-state unifilar sources, variable-to-fixed length codes provide better large deviations performance of the empirical compression ratio, than fixed-to-variable Manuscript received March 21, 1990; revised March 6, 1991. N. Merhav was with AT&T Bell Laboratories, Murray Hill, NJ. He is now with the Department of Electrical Engineering, Technion-Israel I...

The goal of image compression is to remove the redundancies for minimizing the number of bits required to represent an image while any type of compression like DWT,DCT,DFT, steganography works by embedding the secret data in redundancies of the image in invisibility manner. In this paper we increase image compression is done by hybrid (DCT+DWT) transform. MATLAB programs were written for DCT,DW...