A Novel Adaptive Compression System for LCS Unmanned Vehicle Sensor Data Compression
Navy SBIR FY2014.1
||Navy SBIR FY2014.1|
||A Novel Adaptive Compression System for LCS Unmanned Vehicle Sensor Data Compression|
||Applied Research LLC|
11406 Crownwood Ln.
Rockville, Maryland 20850-3563
||Most sonar and camera images in practice are inherently sparse yet highly non-stationary. Optimal prediction, sampling, representation, and estimation of such signals require locally adaptive decomposition that can quickly capture the signal characteristics within a small neighborhood. In order to achieve the demanding required level of compression performance, we propose an adaptive block-based coding framework - the strategy of choice of the most recent international image compression standard JPEG-XR as well as the intra-frame coding method in current international video compression standards H.264/H.265. In a nutshell, we propose to combine the best features of these well-established state-of-the-art coders and then add on top an unprecedented level of flexibility and adaptivity on a block-by-block basis. We will investigate a data-adaptive context-adaptive approach where each operator in the block-coding framework is optimized and selected based on the local statistics/characteristics of the given input image. The encoder will take into account the bit budget requirement for each block while minimizing its reconstructed mean-square error. Our compression is also robust and error resilient. It should be emphasized that our proposed framework is applicable to both lossless and lossy compression.|
||Our proposed compression framework can be used for military surveillance and reconnaissance. Minimal amount of raw data will be transmitted.
We expect our integrated system (hardware and software) will have a unit price of $10,000. We estimate the sales of our system will be more than 2000 units in the next decade. Hence the military market is estimated to be more than 20 million dollars in the next decade.
Besides military applications, ARLLC's technologies will improve the performance of medical image compression and security monitoring applications such as airport surveillance, building security, etc. As a result, more people can afford low cost security systems and benefit from enhanced security. For example, small businesses, building occupants, community resident will be more secured and safe with the deployment of low cost security systems.