吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于Android平台的图像增强算法

阮文惠, 薛亚娣   

  1. 兰州文理学院 数字媒体学院, 兰州 730000
  • 收稿日期:2015-01-21 出版日期:2015-09-26 发布日期:2015-09-29
  • 通讯作者: 阮文惠 E-mail:Ranwh@163.com

Image Enhancement Algorithm Based on Android Platform

RUAN Wenhui, XUE Yadi   

  1. School of Digital Media, Lanzhou University of Arts and Science, Lanzhou 730000, China
  • Received:2015-01-21 Online:2015-09-26 Published:2015-09-29
  • Contact: RUAN Wenhui E-mail:Ranwh@163.com

摘要:

针对传统图像增强算法存在的不足, 提出一种基于Android平台的图像增强算法. 首先,采用同态滤波对图像进行预处理, 并用小波变换分解图像; 然后对图像进行对比度拉伸和亮度增强, 消除图像中的噪声等; 再采用小波变换重构图像各分量, 得到增强后的图像; 最后在Android平台上实现图像增强算法, 并用仿真实验测试其性能. 仿真结果表明, 该算法解决了传统图像增强算法的不足, 得到了较理想的主观视觉效果, 加快了图像增强的速度, 可满足图像增强的实时性要求.

关键词: 图像增强, 小波变换, 同态滤波, 直方图均衡

Abstract:

In order to obtain more ideal effect of the image enhancement, the authors presented  an image enhancement algorithm based on Android platform. Firstly,  homomorphism filtering was used to preprocess the image, and wavelet transform was used to decompose the image, and then the contrast stretching and brightness enhancement were used to eliminate the unfavorable influence on the image, and wavelet transform was used to reconstruct the components
after image enhancement, finally, the image enhancement algorithm was implemented at the Android platform and the performance was tested by simulation experiment. The simulation results show that the proposed algorithm has the advantages of Android and can obtain more ideal visual effect, speeds up the image enhanced speed, so it can meet the image enhancement real\|time requirements.

Key words: image enhancement, wavelet transform, homomorphism filtering, histogram equalization 

中图分类号: 

  • TP391