Laser Journal, Volume. 46, Issue 1, 152(2025)

Laser range image compression algorithm based on adaptive DPCM and LZW

ZHANG Yukun, WU Jun'an, ZHAO Xu, and HAO Xin
Author Affiliations
  • ZNDY Ministerial Key Laboratory, Nanjing University of Science and Technology, Nanjing 210094, China
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    With the development of computer vision and 3D reconstruction, laser range image compression has become an important research direction in laser range image processing, in order to reduce the data size and improve the image processing efficiency while maintaining the depth information quality. By analyzing the arithmetic coding of the original DPCM and LZW, an image compression scheme based on the combination of adaptive DPCM and LZW coding method was proposed. Firstly, the adaptive DPCM is used for interspectral prediction, the DPCM intra-frame prediction is used to output the residual image and quantize the residual image, and then the quantized residual image is output by LZW encoding, and finally it is evaluated and compared with the algorithm referenced in the article and the original algorithm. The test results show that the algorithm can effectively compress the image without affecting the image viewing effect, and the average compression ratio is 4.958, which is 246.71%%, 61.39%, 173.92% and 123.03% higher than the comparison algorithm in the paper, respectively.

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    ZHANG Yukun, WU Jun'an, ZHAO Xu, HAO Xin. Laser range image compression algorithm based on adaptive DPCM and LZW[J]. Laser Journal, 2025, 46(1): 152

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    Paper Information

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    Received: Jul. 26, 2024

    Accepted: Apr. 17, 2025

    Published Online: Apr. 17, 2025

    The Author Email:

    DOI:10.14016/j.cnki.jgzz.2025.01.152

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