Recent advances in the computer technology has enabled many theoretical ideas vision to become practical also within camera technology. Light field aims at replacing traditional design by acquiring intensity of light rays realize advanced applications media and medical industries. The abundant amount information poses high processing, transmission storage requirements. Therefore, a need for eff...

We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work. First, we describe the most relevant approaches published in the literature and classify them according to the stage of the typical image compression process where each approach makes its contr...

| The output of recently developed imaging devices is more often in a digital format and both storage space and transmission times of these images proot from data compression. However, for legal and functional reasons, loss of information should be avoided, introducing the need for lossless compression techniques. Recent evolutions in computing power have given rise to the birth of several new ...

In recent years most research into lossless and near lossless compression of greyscale images could be characterized as belonging to either of two distinct groups The rst group which is concerned with so called practical algorithms encom passes research into methods that allow compression and decompression with low to moderate computational complexity while still obtaining impressive compressio...

Problem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossl...

Hyperspectral sounder data is used for retrieval of surface properties and atmospheric temperature, moisture, trace gases, clouds and aerosols. This large volume three-dimensional data is taken from many scan lines containing cross-track footprints, each with thousands of infrared channels. Unlike hyperspectral imager data compression, hyperspectral sounder data compression is better to be loss...

Existing schemes for 3-D Magnetic Resonance (MR) images, such as block matching method and uniform meshbased scheme, are inadequate to model the motion field of MR sequence because deformation within a mesh element may not all be similar. We propose a scheme consisting of (a) content-based mesh generation using optic flow between two consecutive images (b) forward motion tracking (c) motion com...

Conditional predictive coders (such as LOCO, CALIC, etc.) split the prediction rule into logical cases (channels) and produce prediction residuals for each case. It is a known fact that the distributions of these separate channels usually exhibit sharp, but mean−shifted shapes. If the mean−shift amount for each channel is determined and compensated for, the overall prediction error provides sma...

This paper presents a new lossless interframe coding scheme for Magnetic Resonance (MR) images. The existing schemes, like block matching method and uniform meshbased scheme, are inadeqaute to model the motion field of MR sequence. The above schemes use uniform mesh elements which may comprise multiple motions. We propose a scheme consisting of (a) content-based mesh generation (b) forward moti...

In this paper, we present a multi-segment image coding scheme suitable for lossless progressive transmission over noisy or congested networks. The method is a block-wise forward-adaptive context selection technique that employs a low-complexity classification process to separate an image into multiple segments according to local statistics, so that compression efficiency by an entropy coder is ...