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Strkuctured-light Image Compression Based on Fractal Theory
作者姓名:YAN Bao-li  YANG Yu-xiao
作者单位:YAN Bao-li:Laser and IR Institute, Xi’an Jiaotong University, Xi’an 710049, CHN
YANG Yu-xiao:Laser and IR Institute, Xi’an Jiaotong University, Xi’an 710049, CHN
基金项目:Science Research Foundation of Xi’an Jiaotong University
摘    要:The method of fractal image compression is introduced which is applied to compress the line structured-light image.Based on the self-similarity of the structured-light image, we attain satisfactory compression ratio and higher peak signal-to-noise ratio (PSNR).The experimental results indicate that this method can achieve high performance.

关 键 词:结构光  分形图像压缩  分形理论  自适应分割  PSNR
收稿时间:2001/10/30

Structured-light Image Compression Based on Fractal Theory
YAN Bao-li,YANG Yu-xiao.Strkuctured-light Image Compression Based on Fractal Theory[J].Semiconductor Photonics and Technology,2002,8(1):41-45.
Abstract:The method of fractal image compression is introduced which is applied to compress the line structured-light image. Based on the self-similarity of the structured-light image, we attain satisfactory compression ratio and higher peak signal-to-noise ratio (PSNR). The experimental results indicate that this method can achieve high performance.
Keywords:Structured-light profilometry  Fractal image compression  Adaptive quadritree partitioning
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