Solar energy

SVVTI has introduced a new family of solar concentrating collectors featuring a record-high single-stage concentration ability and a unique combination of high optical performance of mirrors and lens-like sunlight collection on the concentrator's back side. The patented optical design was so unusual that we also had to introduce a new term for it: "Reflective Lens". The concentric and linear versions of our reflective lenses have been developed as a cost effective alternative to the existing dish-parabolic, Fresnel lens, and parabolic trough technologies for a broad range of applications including:

Concentrating PV system Solar thermal power Water heating for residential and commercial applications Space cooling Hydrogen production Water desalination Solar-powered neutralization of hazardous objects or substances Industrial waste disintegration

  Custom optical design and software

  Educational research

We have invented and patented the so-called Running-Edge Image Compression (REIC) approach for image encoding in a simple and computationally inexpensive way. REIC outlines a whole new family of image codecs suitable for highly efficient image data compaction, image vectorization and feature extraction, artificial image generation, game development, image transmission, etc. There are several major extensions to REIC core technology:

Bitonal facsimile and document imaging

A bitonal realization of the REIC core technology outperforms by 5-30% the current telecommunication standards such as CCITT/ITU-T Group 4 coding scheme. This work was initially performed as a collaborative effort of US and Ukrainian small businesses and competitively supported by the US Civilian Research and Development Foundation.

Color facsimile

The REIC implementation for lossless coding of color imagery for facsimile and other applications promises to deliver factor of 2 to 5 times the compression performance of the today's generic lossless compressors while being of a similar simplicity and coding speed.

Region-based compression of artificial raster imagery and simulated video

This is probably the most promising application segment for REIC which can yield the compression ratios comparable to conventional lossy techniques, while being absolutely lossless and much simpler to design and implement.

 Data processing and modeling for remote sensing

 Multispectral image compression

We have proposed improvements to spectral compression and noise correction for multispectral and hyperspectral image data based on principal component analysis and eigenvector learning algorithm to alleviate the memory bandwidth bottleneck problem in deep space missions and high data rate terrestrial applications. We have also initially investigated various algorithm modifications for improving system reliability and possible combining the spectral and spatial compression.

 Physical-valid invention technology