中国组织工程研究

中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (48): 8933-8936.doi: 10.3969/j.issn.1673-8225.2010.48.002

• 数字化骨科 digital orthopedics •    下一篇

一种应用于视皮质假体图像压缩及编码系统的设计

郑小林1，赵  璨1，侯文生1，阴正勤2   

  1. 1重庆大学生物工程学院　重庆市　400044；2解放军第三军医大学西南医院眼科，重庆市　400038
  • 出版日期:2010-11-26 发布日期:2010-11-26
  • 通讯作者: 赵璨，重庆大学生物工程学院，重庆市　400044 zhaocan05@163.com
  • 作者简介:郑小林☆，男，1956年生，博士，教授，博士生导师，主要从事生物医学信号检测与处理、生物磁刺激技术、Bio-MEMS方面的研究。 20071902111@cqu.edu.cn

An image compression and coding system for visual cortex prosthesis

Zheng Xiao-lin1, Zhao Can1, Hou Wen-sheng1, Yin Zheng-qin2   

  1. 1 Bioengineering College of Chongqing University, Chongqing  400044, China; 2 Department of Ophthalmology, Third Military Medical University of Chinese PLA, Chongqing  400038, China
  • Online:2010-11-26 Published:2010-11-26
  • Contact: Zhao Can, Bioengineering College of Chongqing University, Chongqing 400044, China zhaocan05@163.com
  • About author:Zheng Xiao-lin☆, Doctor, Professor, Doctoral supervisor, Bioengineering College of Chongqing University, Chongqing 400044, China 20071902111@cqu.edu.cn

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267

被引次数

1

摘要：

背景：目前，视皮质假体已成为视觉修复实现的主要方法之一，图像压缩在视皮质假体的前期图像处理过程中占有重要地位。
目的：探讨从空域及亮度信息两个方面分别对图像信息进行压缩的方法。
方法：选取哈尔小波基对原始图像进行空间分辨率的压缩，并采用多尺度小波变换的方法对空间频率信号进行合理选取，实现信息的进一步压缩。同时，结合视觉皮质放大的特性，通过模拟视网膜对图像的前期处理，建立了非均匀压缩模型，使得图像压缩过程更接近视觉处理过程。还对亮度信息进行压缩及编码，实现了图像信息最终的压缩编码。
结果与结论：构建了基于数字信号处理器的前期图像压缩及编码系统，最终实现了在10*10的点阵图阵列中进行图像信息的表达。

关键词: 视皮质假体, 图像压缩, 小波变换, 视觉特性, 编码系统

Abstract:

BACKGROUND: At present, the visual cortex prostheses have become a way to restore the vision. Image compression plays an important role in the pre-image processing of visual cortex prostheses.
OBJECTIVE: To discuss methods for the image information compression from spatial and brightness.
METHODS: Haar wavelets were selected to compress spatial resolution and the mutiscale wavelet transforms were used to extract spatial frequency signal from the original image appropriately to achieve further compression of image information. In addition, non-uniform compression model was established in the spatial resolution. It makes image processing closer to the visual processing. Then, the brightness information was compressed and encoded by the system to achieve the final compression.
RESULTS AND CONCLUSION: Digital signal processor-based pre-image compression and coding system were constructed, and image information expression in 10*10 bitmap array was achieved.

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