Optical field data compression by opto-digital means

Interactive Compression of Digital Data

If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression. By doing this in the fundamental source coding theorem we can substitute entropy with conditional entropy and we have a new theoretical limit that allows for better compression. To do...

Data Compression for Light Field

Brighter near-field optical probes by means of improving the optical destruction threshold.

The optical destruction thresholds of conventionally etched and tube-etched near-field optical probes were measured. One of the main advantages of tube-etched tips is their smooth glass surface after taper formation. Presumably for this reason, a destruction limit of over 120 microJ was obtained, almost twice as large as that of the rougher, conventionally etched fibre probes. The use of additi...

Compression of digital video data using

A vector quantizer based on artiicial neural networks is developed for use in digital video data compression applications. A series of experiments investigating the edge performance of various distortion measures and experiments exploring various vector sizes are presented. The paper then describes a diierential vector quantizer which preserves edge features and an adaptive algorithm, Frequency...

Scattered Data Coding in Digital Image Compression

This paper concerns digital image compression using adaptive thinning algorithms. Adaptive thinning is a recursive point removal scheme which works with decremental Delaunay triangulations. When applied to digital images, adaptive thinning returns a scattered set of most significant pixels. This requires efficient and customized methods for coding these pixels (but not their connectivities). To...