Accession Number:

ADA551193

Title:

Compressive Underwater Video Camera

Descriptive Note:

Annual rept.

Corporate Author:

HARBOR BRANCH OCEANOGRAPHIC INST INC FORT PIERCE FL

Report Date:

1998-01-01

Pagination or Media Count:

7.0

Abstract:

The primary long-term goal of our research team is the development of image compression transforms with high compression ratios consistently exceeding 2001 that can facilitate the transmission of moderate resolution imagery e.g., S-VHS format across low-bandwidth channels such as acoustic uplinks from autonomous underwater vehicles AUVs. Secondary goals include the development of image quality measures IQMs that can support rigorous comparison between compression transforms, as well as the implementation of best-performance transforms on fast digital signal processors DSPs or reconfigurable architectures suitable for AUVs. A tertiary goal, which we plan to explore in depth in future research, is the integration of image compression with automated target recognition ATR. Two cases are of interest to this study. First, we have shown that one can achieve increased processing efficiency by applying specially configured ATR operations to compressed imagery. Second, we have developed techniques for prefiltering multi-target imagery to downselect candidate targets prior to compression. The first technique uses compression to increase computational efficiency of ATR processes, while the second technique employs ATR to increase the effective compression ratio. In FY98, our primary goal was to establish that the compression transform developed under the scope of this study, called EBLAST Enhanced Blurring, Local Averaging, Sharpening, and Thresholding, performed better than published compression transforms such as EPIC, SPIHT, VPIC, and wavelet packet compression. The second goal was to implement EBLAST, or its predecessor BLAST, on DSP-based hardware, to determine feasibility for underwater image compression via laboratory or field tests. A third objective emphasized the enhancement of our existing suite of IQMs to include measures of linear feature distortion, as well as statistical techniques for quantifying the blurring effect of a compression transform.

Subject Categories:

  • Submarine Engineering
  • Photography
  • Target Direction, Range and Position Finding
  • Telemetry

Distribution Statement:

APPROVED FOR PUBLIC RELEASE