Lossless compression method for three-dimensional sonar image sequence based on JPEG-LS (joint photographic experts group-lossless standard) interframe expansion

Abstract

A lossless compression method for a three-dimensional sonar image sequence based on JPEG-LS interframe expansion includes the steps: (1) inputting a frame of sonar image data which is to be compressed; (2) dividing the sonar images into one to sixteen pieces; (3) calculating the difference between the moment data and the corresponding moment data in the corresponding block of the former frame of the image; (4) calculating the smoothness; (5) calculating the smoothness after fusion; (6) adaptively selecting the moment data or the difference data of the former frame and the rear frame; (7) loading the modified JPEG-LS image encoder to code; (8) respectively acquiring other chromaticity space moment data of this piece of the sonar image data and repeating the step (3) to the step (7); and (9) acquiring other segmentation pieces of the frame of the sonar image by sequence and repeating the step (3) to the step (8) until each segmentation piece of the frame of the sonar image is completely coded. The lossless compression method for the three-dimensional sonar image sequence based on JPEG-LS interframe expansion is suitable for the lossless compression of the three-dimension sonar images, holistic calculated amount is small, and compression property and adaptive property are simultaneously kept well.

Description

technical field [0001] The invention relates to the field of digital image coding and the technology of submarine three-dimensional sonar images, in particular to a method for lossless compression of three-dimensional sonar image sequences. Background technique [0002] The 3D imaging sonar system is a detection system capable of real-time imaging of targets in water. Each pixel of a three-dimensional sonar image includes a position component and a reflected signal intensity component, where the position component is the X, Y, and Z components of the Cartesian coordinate system, and the reflected signal intensity component represents the intensity of the reflected signal of the pixel point. I said. The current real-time high-resolution phased array 3-D imaging sonar system faces two main problems (see A Trucco, M Palmese, S Repetto.Devising an affordable sonar system for underwater 3-D vision, namely "designing a low-cost Underwater 3D Sonar Vision System", IEEE Transactio...

AI Technical Summary

Problems solved by technology

JPEG-LS has better compression performance for single-frame images, but if JPEG-LS is directly used for lossless compression of 3D sonar image sequences, the compression effect is not ideal, because there is a gap between the front and rear frames of 3D sonar image sequences. Great correlation, and JPEG-LS does not compress the inter-frame redundant information of the image

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