Block truncation compression of sonar images / Garry J. Heard. : DR52-11/22-1994E-PDF

"This paper describes the Block Truncation Compression algorithm and applies it to the problem of storing sonar lofargram and frequency-azimuth (FRAZ) images. Four simulation test cases are presented that demonstrate the algorithm's capabilities, and two real data examples are shown that illustrate the use of the method with actual lofargram and FRAZ images. Only qualitative comparisons of the original and restored images are given, as the technique greatly changes the picture details, but maintains the original image's appearance. This compression algorithm has desirable features such as data independence, minimal computation, and fixed compress/decompress processing times that suit it ideally to real-time applications. Compression ratios of 4:1 are achieved with the basic implementation of the algorithm"--Abstract (page 1).

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