SBIR/STTR Research Award
Reducing the Burden on Military Tactical Networks by Lowering the Impact of Digital Medical Image Transmissions
Award amount
$149,579Program and phase
SBIR · Phase IAward year
2014Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Health Agency
- Recipient company
- eClipse Enterprise Solutions, LLC.
- Proposal award date
- 2014-11-06
- Contract end date
- 2015-07-14
- UEI
- HEJKWAVX7LG1
- Solicitation number
- 2014.1
- Topic code
- DHP14-001
Research abstract
Imaging compression techniques are based on either lossy or lossless algorithms. Lossy techniques attempt to eliminate redundant or unnecessary information contained within the image. Although these techniques can significantly reduce digital files sizes at compression rates exceeding 100:1, there is an associated data loss. In certain applications the data loss is acceptable, since the decompression of the files result in images that are visually lossless. However, with medical image compression there is a concern that such data loss will obscure clinically relevant regions of the original image. Research has been conducted on a hybrid application of lossless compression on regions of diagnostic interest while applying lossy methods on other regions of the image. We believe applying our registration capabilities will overcome limitation in storage and transmission of medical images produced today.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- V-CRAMMIT: Video-Compression using Robust, Adaptive, Multiple Methods and Innovative Techniques
- CRAMMIT: Comprehensive, Robust, Adaptive Multi-Modality Image Compression Technique
- Medical Imagery Tailored HEVC (MITH)
- CRAMMIT: Comprehensive, Robust, Adaptive Multi-Modality Image Compression Technique
- Medical Imagery Tailored HEVC (MITH)