哈尔滨工程大学学报2016，Vol.37Issue(12)：1716-1721,6.DOI:10.11990/jheu.201512048
基于改进的教与学优化算法的图像增强方法
An image enhancement method based on improved teaching-learning-based optimization algorithm
摘要
Abstract
To improve image quality and render the enhanced image more suitable for subsequent image processing, an image enhancement method based on improved teaching-learning-based optimization( TLBO) algorithm is pres-ented. First, combining local information with global information, the original image is converted into the enhanced image. Subsequently, an image enhancement optimization model and an evaluation function including edge intensi-ty, edge pixels, and entropy were established. Second, the TLBO algorithm was modified in two aspects: to raise the global search capability and convergence precision the teaching factor was adaptively adjusted for coordinating the diversity and convergence of the population, and an optimal individual guidance mechanism was produced to speed up the convergence. The suggested TLBO was first applied to optimize the image enhancement optimization model. Experiment results show that compared with other methods, the proposed method has better visual effects and image quality.关键词
教与学优化/图像增强/对比度/视觉效果/评价函数/最优引导/多样性/收敛性Key words
teaching-learning based optimization/image enhancement/image contrast/visual effect/evaluation function/optimal guidance/diversity/convergence分类
信息技术与安全科学引用本文复制引用
毕晓君,潘铁文..基于改进的教与学优化算法的图像增强方法[J].哈尔滨工程大学学报,2016,37(12):1716-1721,6.基金项目
国家自然科学基金项目（61175126）． （）
